CN118393603A - Surrounding environment analysis method, azimuth gamma probe and logging instrument - Google Patents

Abstract

The application relates to a surrounding environment analysis method, an azimuth gamma probe and a logging instrument, wherein the method comprises the steps of establishing a first fluctuation curve based on an electric signal on a moving track of the azimuth gamma probe; synchronously detecting the thickness of a mud shell on the outer wall of the drill bit in the process of establishing a first fluctuation curve, and correcting the first fluctuation curve by using the thickness value of the mud shell to obtain a second fluctuation curve; determining interfaces according to curvature change of the second fluctuation curve, wherein the number of the interfaces is at least one, a plurality of investigation regions uniformly exist around the moving track of the azimuth gamma probe on a plane perpendicular to the moving track of the azimuth gamma probe, and when the interfaces exist in the investigation regions with the number larger than or equal to the set number, the interfaces are determined to exist on the plane. According to the surrounding environment analysis method, the azimuth gamma probe and the logging instrument disclosed by the application, mud shells are found through analysis of received signals, and the received signals are corrected by using an algorithm so as to obtain correct underground environment data.

Description

A surrounding environment analysis method, azimuth gamma probe and well logging instrument

Technical Field

The present application relates to the field of geological exploration technology, and in particular to a surrounding environment analysis method, an azimuth gamma probe and a well logging instrument.

Background technique

Natural radioactive anomalies in engineering geophysical exploration refer to radioactive anomalies formed by radioactive elements that exist in rock fracture zones or karst development zones, rock layers of different lithologies, or groundwater outcrops under natural conditions. This anomaly is discovered through ground radioactive exploration, and then combined with relevant geological data for comprehensive analysis to make qualitative geological inferences. This method can help engineers understand geological structures and has advantages in oil exploration, rare mineral exploration, etc.

In actual exploration operations, the working environment of logging instruments begins to become increasingly complex. With the increase in exploration depth, the speed and effect of well washing begin to decline. The regional material activity in the medium and high temperature exploration zone is greater, making it easier for mud crusts to appear on the outside of the logging instruments. If there are radioactive substances in the mud crusts, the azimuth gamma probe inside the logging instrument will generate false alarms, resulting in engineers' misanalysis of the surrounding environment of the logging instrument (azimuth gamma probe).

Summary of the invention

The present application provides a surrounding environment analysis method, an azimuth gamma probe and a well logging instrument, which detect mud crusts by analyzing received signals and use algorithms to correct received signals, so as to obtain correct underground environment data.

The above-mentioned purpose of the present application is achieved through the following technical solutions:

In a first aspect, the present application provides a surrounding environment analysis method, comprising:

In response to the received electrical signal, establishing a first fluctuation curve based on the electrical signal on the moving track of the azimuth gamma probe;

During the process of establishing the first fluctuation curve, the thickness of the mud crust on the outer wall of the drill bit is detected synchronously, and the first fluctuation curve is corrected using the mud crust thickness value to obtain a second fluctuation curve;

Determining a boundary surface according to a change in the curvature of the second fluctuation curve, wherein the number of the boundary surfaces is at least one;

Wherein, on a plane perpendicular to the moving track of the azimuth gamma ray probe, a plurality of exploration areas evenly exist around the moving track of the azimuth gamma ray probe;

When interfaces exist in greater than or equal to a set number of survey areas, it is determined that an interface exists at the plane.

In a possible implementation manner of the first aspect, the method further includes:

Segmenting the first fluctuation curve to obtain a plurality of first fluctuation curve segments, wherein the time lengths corresponding to each first fluctuation curve segment are equal;

Analyze the first fluctuation curve segment and divide the first fluctuation curve segment into a normal first fluctuation curve segment and an abnormal first fluctuation curve segment;

Segmenting the first fluctuation curve multiple times and determining an abnormal area on the first fluctuation curve, wherein the abnormal area exists in an abnormal first fluctuation curve segment greater than or equal to a set number of times;

The mud crust thickness is detected by following the moving trajectory of the azimuth gamma probe corresponding to the abnormal area.

In a possible implementation manner of the first aspect, analyzing the first fluctuation curve segment includes:

Acquire a data point group corresponding to the first fluctuation curve segment, wherein the data point group includes a plurality of data points;

Determine the fluctuation range of the data point group, and the data points greater than or equal to the set ratio fall into the fluctuation range;

Determine the axis of the fluctuation range;

In the sequential sequence, the amount of runout of the axis that determines the range of fluctuations;

When the jumping amount of the axis line of the fluctuation range is greater than or equal to the allowed value and the accumulated occurrence time greater than or equal to the allowed value is greater than or equal to the allowed time, the first fluctuation curve segment is divided into an abnormal first fluctuation curve segment.

In a possible implementation manner of the first aspect, detecting the thickness of the mud crust on the outer wall of the drill bit includes:

Activate the radiation source;

Using a first signal receiving source on the azimuth gamma probe to receive a signal to obtain a first receiving signal;

The second signal receiving source on the driving azimuth gamma probe receives a signal during the moving process to obtain a second receiving signal;

matching the first received signal with the second received signal by the relative position of the first signal receiving source and the second signal receiving source;

Calculating the thickness of the mud crust on the outer wall of the drill bit according to the matched first received signal and the second received signal;

The strength of the first received signal and the strength of the second received signal are negatively correlated with the thickness of the mud crust on the outer wall of the drill bit.

In a possible implementation manner of the first aspect, matching the first received signal with the second received signal through the relative positions of the first signal receiving source and the second signal receiving source includes:

Determine the mean strength of the signal received by the first signal receiving source and calculate the first received signal, where the first received signal is the difference between the strength value of the signal received by the first signal receiving source and the mean strength;

Calculate a second received signal, where the second received signal is a difference between a signal strength value received by a second signal receiving source and a strength mean;

Calculating a signal strength ratio between the first signal receiving source and the second signal receiving source using the first signal receiving source position, the relative distance between the first signal receiving source position and the second signal receiving source, and the radiation source position; and

matching the first received signal and the second received signal using a signal strength ratio;

There are multiple second received signals.

In a possible implementation manner of the first aspect, when the strength values of any two second received signals and the strength ratios of the two second received signals are unrelated, adjusting the mean strength of the received signal of the first signal receiving source within an allowable range;

The angle value between any two second received signals and the ratio of the strengths of the two second received signals are positively correlated or negatively correlated.

In a possible implementation manner of the first aspect, the method further includes:

Calculate the increase and decrease amplitudes of the first received signal and the second received signal;

The increase or decrease amplitude is used to determine whether there are radioactive elements in the mud crust. When radioactive elements are present in the mud crust, the increase or decrease amplitude is used to correct the thickness of the mud crust.

In a second aspect, the present application provides a surrounding environment analysis device, comprising:

a first signal processing unit, configured to establish a first fluctuation curve based on the electrical signal on the moving track of the azimuth gamma probe in response to the received electrical signal;

A second signal processing unit is used to synchronously detect the thickness of the mud crust on the outer wall of the drill bit during the process of establishing the first fluctuation curve, and use the mud crust thickness value to correct the first fluctuation curve to obtain a second fluctuation curve;

A determination unit, configured to determine an interface according to a change in the curvature of the second fluctuation curve, wherein the number of the interface is at least one;

Wherein, on a plane perpendicular to the moving track of the azimuth gamma ray probe, a plurality of exploration areas evenly exist around the moving track of the azimuth gamma ray probe;

When interfaces exist in greater than or equal to a set number of survey areas, it is determined that an interface exists at the plane.

In a third aspect, the present application provides an azimuth gamma probe, the azimuth gamma probe comprising:

one or more memories for storing instructions; and

One or more processors, used to call and run the instructions from the memory to execute the method as described in the first aspect and any possible implementation of the first aspect.

In a fourth aspect, the present application provides a well logging instrument, comprising the azimuth gamma probe as described in the second aspect.

In a fifth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium comprises:

Program, when the program is executed by a processor, the method described in the first aspect and any possible implementation of the first aspect is executed.

In a sixth aspect, the present application provides a computer program product, comprising program instructions. When the program instructions are executed by a computing device, the method described in the first aspect and any possible implementation of the first aspect is executed.

In a seventh aspect, the present application provides a chip system comprising a processor for implementing the functions involved in the above aspects, for example, generating, receiving, sending, or processing the data and/or information involved in the above methods.

The chip system may be composed of a chip, or may include a chip and other discrete devices.

In a possible design, the chip system also includes a memory, which is used to store necessary program instructions and data. The processor and the memory can be decoupled and respectively set on different devices, connected by wired or wireless means, or the processor and the memory can also be coupled on the same device.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a schematic block diagram of the steps of a surrounding environment analysis method provided in the present application.

FIG. 2 is a schematic diagram of a first fluctuation curve provided in the present application.

FIG3 is a schematic diagram of a principle of obtaining a separation interface provided by the present application.

FIG. 4 is a schematic diagram of a principle of segmenting a first fluctuation curve provided by the present application.

FIG5 is a schematic diagram showing a principle of determining a fluctuation range of a data point group provided by the present application.

FIG. 6 is a schematic diagram of a fluctuation range provided by the present application in which the axis line has jitter.

FIG7 is a schematic diagram of the positions of a radiation source, a first signal receiving source, and a second signal receiving source provided by the present application.

FIG8 is a schematic diagram showing a principle of obtaining a difference value provided by the present application.

Detailed ways

The technical solution in this application is further described in detail below in conjunction with the accompanying drawings.

The present application discloses a surrounding environment analysis method. Please refer to FIG1. In some examples, the surrounding environment analysis method disclosed in the present application includes the following steps:

S101, in response to the received electrical signal, establishing a first fluctuation curve based on the electrical signal on the moving track of the azimuth gamma probe;

S102, during the process of establishing the first fluctuation curve, the thickness of the mud crust on the outer wall of the drill bit is detected synchronously, and the first fluctuation curve is corrected using the mud crust thickness value to obtain a second fluctuation curve;

S103, determining a boundary surface according to a change in the curvature of the second fluctuation curve, wherein the number of the boundary surface is at least one;

Wherein, on a plane perpendicular to the moving track of the azimuth gamma ray probe, a plurality of exploration areas evenly exist around the moving track of the azimuth gamma ray probe;

When interfaces exist in greater than or equal to a set number of survey areas, it is determined that an interface exists at the plane.

In step S101 to step S103, the received electrical signal is generated by the azimuth gamma probe, and the electrical signal is processed by the processor carried by the azimuth gamma probe itself or the processor working in conjunction with the azimuth gamma probe. The azimuth gamma probe maintains a rotating posture during operation, that is, the azimuth gamma probe collects data in the circumferential direction.

The way to collect data is that the gamma rays generated in the surrounding environment enter the azimuth gamma probe. After conversion, the gamma rays are converted into electrical signals. For an electrical signal at a certain time point, it can be expressed in a numerical way, that is, in a certain direction, a curve composed of multiple points can be obtained, as shown in Figure 2. It should be noted here that the curve is generated by fitting the multiple points recorded in the previous article.

The curve generated by fitting multiple points here is the first fluctuation curve obtained based on the electrical signal in step S101. In the process of establishing the first fluctuation curve, the thickness of the mud shell on the outer wall of the drill bit is synchronously detected and the first fluctuation curve is corrected using the mud shell thickness value to obtain the second fluctuation curve.

In some possible implementations, the purpose of the correction is to obtain the true shape of the first fluctuation curve, because the mud crust will make the intensity of the obtained signal smaller than the intensity of the actual signal. In this case, it is necessary to calculate the thickness of the mud crust, and then reversely calculate the intensity of the actual signal based on the intensity of the obtained signal and the thickness of the mud crust.

Please refer to Figure 3. Finally, the interface is determined according to the curvature change of the second fluctuation curve. The position of the interface is the area where the slope change on the second fluctuation curve reaches the requirement. The interface is located between the two strata. This method will obtain one interface or multiple interfaces.

In FIG. 3 , three interfaces are shown in total. At the interfaces, the curvature of the second fluctuation curve changes significantly, while in the area between the two interfaces, the corresponding second fluctuation curve portion basically remains in a straight line (with slight fluctuations in some areas).

It should be understood that when the mud crust carries radioactive substances, the azimuth gamma probe will continuously receive signals during operation, and such signals will continuously be superimposed on the surrounding environment signals, causing distortion of the surrounding environment signals.

When the surrounding environment signal is distorted, it will cause anomalies in the subsequent geological structure analysis. For example, in the density analysis process, the calculated density will deviate from the actual density.

The analysis process of the first fluctuation curve is as follows:

S201, segmenting the first fluctuation curve to obtain a plurality of first fluctuation curve segments, wherein the time lengths corresponding to each first fluctuation curve segment are equal;

S202, analyzing the first fluctuation curve segment, and dividing the first fluctuation curve segment into a normal first fluctuation curve segment and an abnormal first fluctuation curve segment;

S203, segmenting the first fluctuation curve for multiple times and determining an abnormal region on the first fluctuation curve, where the abnormal region exists in an abnormal first fluctuation curve segment greater than or equal to a set number;

S204, detecting the thickness of the mud crust on the moving track of the azimuth gamma probe corresponding to the abnormal area.

In step S201 to step S204, the first fluctuation curve is segmented, as shown in FIG4 , and then the first fluctuation curve segment is divided into a normal first fluctuation curve segment and an abnormal first fluctuation curve segment. The segmentation is performed multiple times. When a part of the first fluctuation curve is classified as an abnormal first fluctuation curve segment during multiple segmentation processes, the part is marked as an abnormal area, and then the moving trajectory of the azimuth gamma probe corresponding to the abnormal area is subjected to mud shell thickness detection.

The advantage of multiple segmentation processing is that it improves the accuracy of the analysis. Because in the actual work process, the time when the mud crust is generated and the thickness of the mud crust are unknown, it is difficult to accurately determine whether the mud crust appears or not. The advantage of using multiple segmentation processing can effectively improve the accuracy of the analysis.

The specific method of analyzing the first fluctuation curve segment is:

S301, obtaining a data point group corresponding to a first fluctuation curve segment, wherein the data point group includes a plurality of data points;

S302, determining a fluctuation range of the data point group, and data points greater than or equal to a set ratio fall within the fluctuation range;

S303, determining the axis of the fluctuation range;

S304, determining the amount of runout of the axis of the fluctuation range in the sequential sequence;

S305, when the jumping amount of the axis line of the fluctuation range is greater than or equal to the allowed value and the accumulated occurrence time greater than or equal to the allowed value is greater than or equal to the allowed time, classify the first fluctuation curve segment into an abnormal first fluctuation curve segment.

Specifically, as mentioned in the foregoing content, the first fluctuation curve is composed of multiple data points. Therefore, in step S301, please refer to Figure 5. It is necessary to first obtain the data point group corresponding to the first fluctuation curve segment, which includes multiple data points. Then, the fluctuation range of the data point group is determined. The specific method is to first establish two straight lines parallel to the X-axis in the coordinate system so that data points greater than or equal to a set proportion fall into the fluctuation range. Generally speaking, the set proportion is 97%-99%.

Then determine the axis of the fluctuation range. The axis of the fluctuation range is the symmetry line of the two straight lines parallel to the X-axis, and the distances from the symmetry line to the two straight lines parallel to the X-axis are equal.

Please refer to Figure 6 (the jump amount is exaggerated for clarity in the figure), and then determine the jump amount of the axis line of the fluctuation range in the sequential sequence. The sequential sequence here refers to the arrangement order of the first fluctuation curve segment. The judgment condition is: when the jump amount of the axis line of the fluctuation range is greater than or equal to the allowed value and the cumulative occurrence time greater than or equal to the allowed value is greater than or equal to the allowed time, the first fluctuation curve segment is divided into an abnormal first fluctuation curve segment.

This method takes both the error and the actual environment into consideration and has higher accuracy.

It should be understood that when the intensity of the radioactive source and the measurement conditions remain unchanged, the intensity of the radioactivity is repeatedly measured multiple times at equal time intervals, and the values recorded each time are different, but always fluctuate around a certain value. This phenomenon is called radioactivity fluctuation. It has nothing to do with the measurement conditions, is an objective phenomenon in the microscopic world, and has a certain regularity. This phenomenon is caused by the fact that the decay of each nucleus of the radioactive element is independent of each other, and the order of decay is accidental.

The specific method for detecting the thickness of the mud shell on the outer wall of the drill bit is:

S401, start the radiation source;

S402, using a first signal receiving source on the azimuth gamma probe to receive a signal to obtain a first received signal;

S403, driving the second signal receiving source on the azimuth gamma probe to receive a signal during the movement to obtain a second receiving signal;

S404, matching the first received signal with the second received signal according to the relative positions of the first signal receiving source and the second signal receiving source;

S405, calculating the thickness of the mud crust on the outer wall of the drill bit according to the matched first received signal and the second received signal;

The strength of the first received signal and the strength of the second received signal are negatively correlated with the thickness of the mud crust on the outer wall of the drill bit.

In step S401 to step S405, please refer to Figure 7, the azimuth gamma probe or the radioactive source carried by the logging instrument will be activated for auxiliary analysis, and the radioactive source generally uses cesium-137. At this time, the two signal receiving sources (the first signal receiving source and the second signal receiving source) on the azimuth gamma probe will work in conjunction with the radioactive source.

The position of the first signal receiving source is fixed, and the signal it receives is the first received signal. The position of the second signal receiving source is not fixed, and the signal received during the movement is recorded as the second received signal. Then, the first received signal and the second received signal are matched according to the relative positions of the first signal receiving source and the second signal receiving source.

Compton scattering is involved here. The gamma signal emitted by the radiation source is Compton scattered in the surrounding environment. The scattered signal is sensed by the first signal receiving source and the second signal receiving source. The signal strength sensed by the first signal receiving source and the second signal receiving source is related to the distance between the radiation source.

The emission angle of the radiation source is fixed, the position of the first signal receiving source is fixed, and the position of the first signal receiving source is known although it is in a moving state. Based on this, the first receiving signal and the second receiving signal can be combined to match the first receiving signal and the second receiving signal.

After the first received signal and the second received signal are matched, the thickness of the mud crust on the outer wall of the drill bit can be calculated based on the matched first received signal and the second received signal. Because the radiation intensity, direction and other parameters of the radioactive source are known parameters, when there is no mud crust on the outer wall of the azimuth gamma probe, the radioactive source is started, and the intensity superposition of the signal can be obtained through experiments, and this parameter is a known quantity.

When the thickness of the mud crust increases, the intensity superposition of the signal will decrease, and the magnitude of the decrease can also be obtained through experiments and is also a known quantity.

It can be simply summarized that the strength of the first received signal and the strength of the second received signal are negatively correlated with the thickness of the mud crust on the outer wall of the drill bit. The thicker the mud crust is, the lower the strength of the first received signal and the strength of the second received signal are.

The specific steps of matching the first received signal with the second received signal by the relative position of the first signal receiving source and the second signal receiving source are as follows:

S501, determining a strength mean of a signal received by a first signal receiving source and calculating a first received signal, where the first received signal is a difference between a strength value of a signal received by the first signal receiving source and the strength mean;

S502, calculating a second received signal, where the second received signal is a difference between a signal strength value received by a second signal receiving source and a strength mean;

S503, calculating a signal strength ratio between the first signal receiving source and the second signal receiving source using the first signal receiving source position, the relative distance between the first signal receiving source position and the second signal receiving source, and the radiation source position; and

S504, matching the first received signal with the second received signal using a signal strength ratio;

There are multiple second received signals.

Specifically, it is necessary to first obtain the first received signal and the second received signal. The first received signal is calculated as follows: the first received signal is the difference between the signal strength value received by the first signal receiving source and the strength mean, and the second received signal is the difference between the signal strength value received by the second signal receiving source and the strength mean, as shown in Figure 8.

Then, the signal strength ratio of the first signal receiving source to the second signal receiving source is calculated using the first signal receiving source position, the relative distance between the first signal receiving source position and the second signal receiving source, and the signal strength ratio is used to match the first received signal and the second received signal.

The signal strength is positively correlated with the distance value.

In some possible implementations, when the strength values of any two second received signals and the strength ratio of the two second received signals are uncorrelated, the mean strength of the received signal of the first signal receiving source is adjusted within an allowable range so that the angle value of any two second received signals and the strength ratio of the two second received signals are positively correlated or negatively correlated.

Because the sampling error also needs to be considered here, the sampling error can be eliminated by adjusting the mean value of the strength of the signal received by the first signal receiving source within an allowable range.

Furthermore, the following steps are added:

Calculate the increase and decrease amplitudes of the first received signal and the second received signal;

The increase or decrease amplitude is used to determine whether there are radioactive elements in the mud crust. When radioactive elements are present in the mud crust, the increase or decrease amplitude is used to correct the thickness of the mud crust.

The reason for calculating the increase and decrease is that when radioactive elements exist in the mud crust, the intensity of the received signals (the first received signal and the second received signal) will be higher than the actual intensity of the signals (the first received signal and the second received signal).

As for the method of determining the increase or decrease range, it is necessary to calculate from the time when the azimuth gamma probe (logging instrument) starts to work. The specific calculation method is to start counting the amount of vibration of the axis of the fluctuation range at the starting time point of the first fluctuation curve.

When mud crust begins to appear, the oscillation of the axis line of the fluctuation range will develop in the negative direction and then reach a stable period; when mud crust begins to appear and radioactive elements exist in the mud crust, the oscillation of the axis line of the fluctuation range will develop in the positive or negative direction, which mainly depends on the thickness of the mud crust and the radioactive elements, and then reach a stable period.

Of course, it is possible that the weakening of gamma rays by the thickness of the mud shell is exactly equal to the strengthening of gamma rays by the radioactive elements in the mud shell, but this situation can be ignored. On the one hand, the probability of this situation is extremely low. On the other hand, this situation is equivalent to the absence of mud shell on the outer wall of the drill bit or the increase in the thickness of the mud shell is offset.

The present application also provides a surrounding environment analysis device, comprising:

a first signal processing unit, configured to establish a first fluctuation curve based on the electrical signal on the moving track of the azimuth gamma probe in response to the received electrical signal;

A second signal processing unit is used to synchronously detect the thickness of the mud crust on the outer wall of the drill bit during the process of establishing the first fluctuation curve, and use the mud crust thickness value to correct the first fluctuation curve to obtain a second fluctuation curve;

A determination unit, configured to determine an interface according to a change in the curvature of the second fluctuation curve, wherein the number of the interface is at least one;

Wherein, on a plane perpendicular to the moving track of the azimuth gamma ray probe, a plurality of exploration areas evenly exist around the moving track of the azimuth gamma ray probe;

When interfaces exist in greater than or equal to a set number of survey areas, it is determined that an interface exists at the plane.

Furthermore, it also includes:

A segmentation processing unit, used for segmenting the first fluctuation curve to obtain a plurality of first fluctuation curve segments, wherein the time length corresponding to each first fluctuation curve segment is equal;

A primary analysis unit, used for analyzing the first fluctuation curve segment, and dividing the first fluctuation curve segment into a normal first fluctuation curve segment and an abnormal first fluctuation curve segment;

A secondary analysis unit, used for segmenting the first fluctuation curve for multiple times and determining an abnormal area on the first fluctuation curve, wherein the abnormal area exists in an abnormal first fluctuation curve segment greater than or equal to a set number of times;

The detection unit is used to detect the thickness of the mud crust on the moving track of the azimuth gamma probe corresponding to the abnormal area.

Furthermore, it also includes:

A data acquisition unit, used to acquire a data point group corresponding to the first fluctuation curve segment, wherein the data point group includes a plurality of data points;

A first determining unit is used to determine a fluctuation range of a data point group, and data points greater than or equal to a set ratio fall within the fluctuation range;

A second determining unit, used to determine an axis of the fluctuation range;

The third determination unit is used to determine the amount of runout of the axis of the fluctuation range in the sequential sequence;

The category classification unit is used to classify the first fluctuation curve segment into an abnormal first fluctuation curve segment when the amount of vibration of the axis line of the fluctuation range is greater than or equal to the allowed value and the accumulated occurrence time greater than or equal to the allowed value is greater than or equal to the allowed time.

Furthermore, it also includes:

A starting unit, used for starting the radiation source;

A third signal processing unit is used to receive a signal using a first signal receiving source on the azimuth gamma probe to obtain a first receiving signal;

A fourth signal processing unit, used for driving the second signal receiving source on the azimuth gamma probe tube to receive signals during movement to obtain a second receiving signal;

A first signal matching unit, configured to match the first received signal with the second received signal according to the relative positions of the first signal receiving source and the second signal receiving source;

A first calculation unit is used to calculate the thickness of the mud crust on the outer wall of the drill bit according to the matched first receiving signal and the second receiving signal;

The strength of the first received signal and the strength of the second received signal are negatively correlated with the thickness of the mud crust on the outer wall of the drill bit.

Furthermore, it also includes:

a fourth determining unit, configured to determine a strength mean of a signal received by the first signal receiving source and calculate a first received signal, wherein the first received signal is a difference between a strength value of a signal received by the first signal receiving source and the strength mean;

A second calculation unit is used to calculate a second received signal, where the second received signal is a difference between a signal strength value received by a second signal receiving source and a strength mean;

a third calculation unit, configured to calculate a signal strength ratio between the first signal receiving source and the second signal receiving source using the first signal receiving source position, the relative distance between the first signal receiving source position and the second signal receiving source, and the radiation source position; and

A second signal matching unit, configured to match the first received signal with the second received signal using a signal strength ratio;

Wherein, the number of the second received signals is multiple;

The angle value between the first received signal and the second received signal is negatively correlated with the strength ratio of the second received signal to the first received signal;

In the moving direction of the second signal receiving source, the angle value between any two second received signals is positively correlated or negatively correlated with the ratio of the strengths of the two second received signals.

Further, when the strength values of any two second received signals and the strength ratio of the two second received signals are unrelated, the mean strength of the received signal of the first signal receiving source is adjusted within an allowable range;

The angle value between any two second received signals and the ratio of the strengths of the two second received signals are positively correlated or negatively correlated.

Furthermore, it also includes:

A fourth calculation unit, used for calculating the increase and decrease amplitudes of the first received signal and the second received signal;

The correction unit is used to determine whether there are radioactive elements in the mud crust by increasing or decreasing the amplitude. When radioactive elements exist in the mud crust, the thickness of the mud crust is corrected by using the increasing or decreasing amplitude.

In one example, the unit in any of the above devices may be one or more integrated circuits configured to implement the above methods, such as: one or more application specific integrated circuits (ASICs), or, one or more digital signal processors (DSPs), or, one or more field programmable gate arrays (FPGAs), or a combination of at least two of these integrated circuit forms.

For another example, when the units in the device can be implemented in the form of a processing element scheduling program, the processing element can be a general-purpose processor, such as a central processing unit (CPU) or other processor that can call a program. For another example, these units can be integrated together and implemented in the form of a system-on-a-chip (SOC).

Various objects such as various messages/information/equipment/network elements/systems/devices/actions/operations/processes/concepts that may appear in this application are named. It can be understood that these specific names do not constitute a limitation on the relevant objects. The names assigned may change with factors such as scenarios, contexts or usage habits. The understanding of the technical meaning of the technical terms in this application should be mainly determined from the functions and technical effects embodied/executed in the technical scheme.

Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

It should also be understood that in various embodiments of the present application, the first, second, etc. are only used to indicate that multiple objects are different. For example, the first time window and the second time window are only used to indicate different time windows. They should not have any impact on the time window itself, and the first, second, etc. mentioned above should not impose any limitations on the embodiments of the present application.

It should also be understood that in the various embodiments of the present application, unless otherwise specified or there is a logical conflict, the terms and/or descriptions between different embodiments are consistent and can be referenced to each other, and the technical features in different embodiments can be combined to form new embodiments according to their internal logical relationships.

If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be embodied in the form of a software product, which is stored in a computer-readable storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present application. The aforementioned computer-readable storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

The present application also provides an azimuth gamma probe, the azimuth gamma probe comprising:

one or more memories for storing instructions; and

One or more processors are used to call and run the instructions from the memory to execute the method as described above.

The present application also provides a well logging instrument, including the azimuth gamma probe as described above.

The present application also provides a computer program product, which includes instructions. When the instructions are executed, the azimuth gamma probe and the well logging tool perform operations corresponding to the azimuth gamma probe and the well logging tool of the above method.

The present application also provides a chip system, which includes a processor for implementing the functions involved in the above content, such as generating, receiving, sending, or processing the data and/or information involved in the above method.

The chip system may be composed of a chip, or may include a chip and other discrete devices.

The processor mentioned in any of the above places can be a CPU, a microprocessor, an ASIC, or one or more integrated circuits for executing programs for controlling the above-mentioned feedback information transmission method.

In a possible design, the chip system also includes a memory, which is used to store necessary program instructions and data. The processor and the memory can be decoupled and respectively set on different devices, connected by wired or wireless means to support the chip system to implement various functions in the above embodiments. Alternatively, the processor and the memory can also be coupled on the same device.

Optionally, the computer instructions are stored in a memory.

Optionally, the memory is a storage unit within the chip, such as a register, a cache, etc. The memory can also be a storage unit within the terminal located outside the chip, such as a ROM or other types of static storage devices that can store static information and instructions, RAM, etc.

It can be understood that the memory in the present application can be a volatile memory or a non-volatile memory, or can include both volatile and non-volatile memories.

The nonvolatile memory may be a ROM, a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (EEPROM), or a flash memory.

The volatile memory may be a RAM, which is used as an external cache. There are many different types of RAM, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), and direct memory bus RAM.

The embodiments of this specific implementation method are all preferred embodiments of the present application, and are not intended to limit the protection scope of the present application. Therefore, all equivalent changes made based on the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims (10)

1. A surrounding environment analysis method, characterized in that it includes: In response to the received electrical signal, establishing a first fluctuation curve based on the electrical signal on the moving track of the azimuth gamma probe; During the process of establishing the first fluctuation curve, the thickness of the mud crust on the outer wall of the drill bit is detected synchronously, and the first fluctuation curve is corrected using the mud crust thickness value to obtain a second fluctuation curve; Determining a boundary surface according to a change in the curvature of the second fluctuation curve, wherein the number of the boundary surfaces is at least one; Wherein, on a plane perpendicular to the moving track of the azimuth gamma ray probe, a plurality of exploration areas evenly exist around the moving track of the azimuth gamma ray probe; When interfaces exist in greater than or equal to a set number of survey areas, it is determined that an interface exists at the plane. 2. The surrounding environment analysis method according to claim 1, characterized in that it also includes: Segmenting the first fluctuation curve to obtain a plurality of first fluctuation curve segments, wherein the time lengths corresponding to each first fluctuation curve segment are equal; Analyze the first fluctuation curve segment and divide the first fluctuation curve segment into a normal first fluctuation curve segment and an abnormal first fluctuation curve segment; Segmenting the first fluctuation curve multiple times and determining an abnormal area on the first fluctuation curve, wherein the abnormal area exists in an abnormal first fluctuation curve segment greater than or equal to a set number of times; The mud crust thickness is detected by following the moving trajectory of the azimuth gamma probe corresponding to the abnormal area. 3. The surrounding environment analysis method according to claim 2, wherein analyzing the first fluctuation curve segment comprises: Acquire a data point group corresponding to the first fluctuation curve segment, wherein the data point group includes a plurality of data points; Determine the fluctuation range of the data point group, and the data points greater than or equal to the set ratio fall into the fluctuation range; Determine the axis of the fluctuation range; In the sequential sequence, the amount of runout of the axis that determines the range of fluctuations; When the jumping amount of the axis line of the fluctuation range is greater than or equal to the allowed value and the accumulated occurrence time greater than or equal to the allowed value is greater than or equal to the allowed time, the first fluctuation curve segment is divided into an abnormal first fluctuation curve segment. 4. The surrounding environment analysis method according to any one of claims 1 to 3, characterized in that detecting the thickness of the mud crust on the outer wall of the drill bit comprises: Activate the radiation source; Using a first signal receiving source on the azimuth gamma probe to receive a signal to obtain a first receiving signal; The second signal receiving source on the driving azimuth gamma probe receives a signal during the moving process to obtain a second receiving signal; matching the first received signal with the second received signal by the relative position of the first signal receiving source and the second signal receiving source; Calculating the thickness of the mud crust on the outer wall of the drill bit according to the matched first received signal and the second received signal; The strength of the first received signal and the strength of the second received signal are negatively correlated with the thickness of the mud crust on the outer wall of the drill bit. 5. The surrounding environment analysis method according to claim 4, characterized in that matching the first received signal and the second received signal by the relative position of the first signal receiving source and the second signal receiving source comprises: Determine the mean strength of the signal received by the first signal receiving source and calculate the first received signal, where the first received signal is the difference between the strength value of the signal received by the first signal receiving source and the mean strength; Calculate a second received signal, where the second received signal is a difference between a signal strength value received by a second signal receiving source and a strength mean; Calculating a signal strength ratio between the first signal receiving source and the second signal receiving source using the first signal receiving source position, the relative distance between the first signal receiving source position and the second signal receiving source, and the radiation source position; and matching the first received signal and the second received signal using a signal strength ratio; There are multiple second received signals. 6. The surrounding environment analysis method according to claim 5, characterized in that when the strength values of any two second received signals and the strength ratio of the two second received signals are unrelated, the mean strength of the received signal of the first signal receiving source is adjusted within an allowable range; The angle value between any two second received signals and the ratio of the strengths of the two second received signals are positively correlated or negatively correlated. 7. The surrounding environment analysis method according to claim 6, characterized in that it also includes: Calculate the increase and decrease amplitudes of the first received signal and the second received signal; The increase or decrease amplitude is used to determine whether there are radioactive elements in the mud crust. When radioactive elements are present in the mud crust, the increase or decrease amplitude is used to correct the thickness of the mud crust. 8. A surrounding environment analysis device, comprising: a first signal processing unit, configured to establish a first fluctuation curve based on the electrical signal on the moving track of the azimuth gamma probe in response to the received electrical signal; A second signal processing unit is used to synchronously detect the thickness of the mud crust on the outer wall of the drill bit during the process of establishing the first fluctuation curve, and use the mud crust thickness value to correct the first fluctuation curve to obtain a second fluctuation curve; A determination unit, configured to determine an interface according to a change in the curvature of the second fluctuation curve, wherein the number of the interface is at least one; Wherein, on a plane perpendicular to the moving track of the azimuth gamma ray probe, a plurality of exploration areas evenly exist around the moving track of the azimuth gamma ray probe; When interfaces exist in greater than or equal to a set number of survey areas, it is determined that an interface exists at the plane. 9. An azimuth gamma probe, characterized in that the azimuth gamma probe comprises: one or more memories for storing instructions; and One or more processors, configured to call and execute the instructions from the memory to perform the method according to any one of claims 1 to 7. 10. A well logging instrument, characterized by comprising the azimuth gamma probe according to claim 9.