[go: up one dir, main page]

Dræge, 2018 - Google Patents

A new concept—fluid substitution by integrating rock physics and machine learning

Dræge, 2018

Document ID
6560167401855053636
Author
Dræge A
Publication year
Publication venue
First Break

External Links

Snippet

This study presents a new and patented concept for fluid substitution that can be integrated with Machine Learning to provide robust and simple fluid substitution with approximately the same or better accuracy as Gassmann theory. The method is called 'ROck physics Fluid …
Continue reading at www.earthdoc.org (other versions)

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V2210/00Details of seismic processing or analysis
    • G01V2210/60Analysis
    • G01V2210/62Physical property of subsurface
    • G01V2210/624Reservoir parameters
    • G01V2210/6248Pore pressure
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V1/00Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/28Processing seismic data, e.g. analysis, for interpretation, for correction
    • G01V1/30Analysis
    • G01V1/306Analysis for determining physical properties of the subsurface, e.g. impedance, porosity or attenuation profiles
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V2210/00Details of seismic processing or analysis
    • G01V2210/60Analysis
    • G01V2210/66Subsurface modeling
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V2210/00Details of seismic processing or analysis
    • G01V2210/60Analysis
    • G01V2210/62Physical property of subsurface
    • G01V2210/626Physical property of subsurface with anisotropy
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • G06F17/5009Computer-aided design using simulation
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V1/00Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/28Processing seismic data, e.g. analysis, for interpretation, for correction
    • G01V1/282Application of seismic models, synthetic seismograms
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V1/00Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/40Seismology; Seismic or acoustic prospecting or detecting specially adapted for well-logging
    • G01V1/44Seismology; Seismic or acoustic prospecting or detecting specially adapted for well-logging using generators and receivers in the same well
    • G01V1/48Processing data
    • G01V1/50Analysing data
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V2210/00Details of seismic processing or analysis
    • G01V2210/60Analysis
    • G01V2210/61Analysis by combining or comparing a seismic data set with other data
    • G01V2210/614Synthetically generated data
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V1/00Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/28Processing seismic data, e.g. analysis, for interpretation, for correction
    • G01V1/34Displaying seismic recordings or visualisation of seismic data or attributes
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V99/00Subject matter not provided for in other groups of this subclass
    • G01V99/005Geomodels or geomodelling, not related to particular measurements
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V2210/00Details of seismic processing or analysis
    • G01V2210/60Analysis
    • G01V2210/67Wave propagation modeling
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V1/00Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/003Seismic data acquisition in general, e.g. survey design
    • G01V1/005Seismic data acquisition in general, e.g. survey design with exploration systems emitting special signals, e.g. frequency swept signals, pulse sequences or slip sweep arrangements
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V3/00Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
    • G01V3/38Processing data, e.g. for analysis, for interpretation, for correction
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V11/00GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS prospecting or detecting by methods combining techniques covered by two or more of main groups G01V1/00 - G01V9/00

Similar Documents

Publication Publication Date Title
Grana et al. Bayesian inversion of time‐lapse seismic data for the estimation of static reservoir properties and dynamic property changes
Fawad et al. Monitoring geological storage of CO2 using a new rock physics model
De Gennaro et al. Integrated unconventional gas evaluation workflow: From anisotropic geomechanical modelling to completion design
Lee et al. Improving total organic carbon estimation for unconventional shale reservoirs using Shapley value regression and deep machine learning methods
Lang et al. Rock physics modelling and inversion for saturation‐pressure changes in time‐lapse seismic studies
Gabry et al. Application of Machine Learning Model for Estimating the Geomechanical Rock Properties Using Conventional Well Logging Data
Suman et al. Sensitivity study of rock-physics parameters for modeling time-lapse seismic response of Norne field
Grana Pressure–velocity relations in reservoir rocks: Modified MacBeth's equation
Dræge A new concept—fluid substitution by integrating rock physics and machine learning
Durrani et al. Rock physics modelling‐based characterization of deep and tight mixed sedimentary (clastic and carbonate) reservoirs: A case study from North Potwar Basin of Pakistan
Saberi A closer look at rock physics models and their assisted interpretation in seismic exploration
Vorobiev et al. Anisotropic rock-physics model and its applications to laminated reservoirs analysis
Donald et al. Digital transformation of borehole sonic services in the oil and gas industry
Sams Constraining petrophysics with rock physics
Gui et al. Petrophysical properties prediction of deep dolomite reservoir considering pore structure
Keys et al. Isotropic and anisotropic velocity model building for subsalt seismic imaging
Gaillot et al. Is My Completions Engineer Provided with the Correct Petrophysical and Geomechanical Properties Inputs?
Matava et al. Isotropic and anisotropic velocity-model building for subsalt seismic imaging
Brevik et al. Rock physicists step out of the well location, meet geophysicists and geologists to add value in exploration analysis
RU2764145C2 (en) Fluid substitution
Cuesta et al. A Consistent Method to Build and Use a 3D Mechanical Earth Model
Bachrach Mechanical compaction in heterogeneous clastic formations from plastic–poroelastic deformation principles: theory and applications
Suleymanov et al. Seismic reflections of rock properties in a clastic environment
Crampin Well log facies classification for improved regional exploration
Suleymanov et al. Rock physics and machine learning analysis of a high-porosity gas sand in the Gulf of Mexico