NO20100698L - Fremgangsmate og system for a prosessere gamma tellerate-nedbrytingskurver ved bruk av nevrale nettverk - Google Patents
Fremgangsmate og system for a prosessere gamma tellerate-nedbrytingskurver ved bruk av nevrale nettverkInfo
- Publication number
- NO20100698L NO20100698L NO20100698A NO20100698A NO20100698L NO 20100698 L NO20100698 L NO 20100698L NO 20100698 A NO20100698 A NO 20100698A NO 20100698 A NO20100698 A NO 20100698A NO 20100698 L NO20100698 L NO 20100698L
- Authority
- NO
- Norway
- Prior art keywords
- gamma
- borehole
- neural networks
- rate
- decompositions
- Prior art date
Links
- 238000013528 artificial neural network Methods 0.000 title abstract 3
- 238000000354 decomposition reaction Methods 0.000 title abstract 3
- 238000000034 method Methods 0.000 title abstract 2
- 230000015572 biosynthetic process Effects 0.000 abstract 2
- 230000004075 alteration Effects 0.000 abstract 1
- 230000015556 catabolic process Effects 0.000 abstract 1
- 238000006731 degradation reaction Methods 0.000 abstract 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V5/00—Prospecting or detecting by the use of ionising radiation, e.g. of natural or induced radioactivity
- G01V5/04—Prospecting or detecting by the use of ionising radiation, e.g. of natural or induced radioactivity specially adapted for well-logging
- G01V5/08—Prospecting or detecting by the use of ionising radiation, e.g. of natural or induced radioactivity specially adapted for well-logging using primary nuclear radiation sources or X-rays
- G01V5/10—Prospecting or detecting by the use of ionising radiation, e.g. of natural or induced radioactivity specially adapted for well-logging using primary nuclear radiation sources or X-rays using neutron sources
- G01V5/101—Prospecting or detecting by the use of ionising radiation, e.g. of natural or induced radioactivity specially adapted for well-logging using primary nuclear radiation sources or X-rays using neutron sources and detecting the secondary Y-rays produced in the surrounding layers of the bore hole
Landscapes
- Physics & Mathematics (AREA)
- High Energy & Nuclear Physics (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Life Sciences & Earth Sciences (AREA)
- General Physics & Mathematics (AREA)
- Geophysics (AREA)
- Geophysics And Detection Of Objects (AREA)
Abstract
Prosessering av gammatallratenedbrytingskurver ved bruk av neurale nettverk. Minst enkelte av de illustrerte legemliggjøringene er fremgangsmåter som innbefatter å skaffe en gammatallsratenedbrytingskurve for hver av et flertall av gammadetektorer i et nukleært loggingsverktøy (gammatallsratenedbrytingskurvene blir registrert ved en bestemt borehullsdybde), å tilføre gammatallsratenedbrytingskurvene på inngangsnoder i et neuralt nettverk, å predikere ved hjelp av det neurale nettverket en geofysisk parameter for formasjonen som omgir borehullet, å gjenta skaffingen, tilføringen og predikeringen for et flertall av borehullsdybder, og å fremstille en kurvetegning for den geofysiske parameteren til formasjonen som en funksjon av borehullsdybden.
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/US2008/074322 WO2010024802A1 (en) | 2008-08-26 | 2008-08-26 | Method and system of processing gamma count rate decay curves using neural networks |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| NO20100698L true NO20100698L (no) | 2010-06-25 |
Family
ID=41721754
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| NO20100698A NO20100698L (no) | 2008-08-26 | 2010-05-12 | Fremgangsmate og system for a prosessere gamma tellerate-nedbrytingskurver ved bruk av nevrale nettverk |
Country Status (7)
| Country | Link |
|---|---|
| US (1) | US8660796B2 (no) |
| BR (1) | BRPI0820365A2 (no) |
| CA (1) | CA2701109C (no) |
| EG (1) | EG26558A (no) |
| MX (1) | MX2010006102A (no) |
| NO (1) | NO20100698L (no) |
| WO (1) | WO2010024802A1 (no) |
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| CA2662543C (en) * | 2007-08-14 | 2012-08-28 | Halliburton Energy Services, Inc. | Determining formation characteristics |
| US8510050B2 (en) | 2009-09-28 | 2013-08-13 | Halliburton Energy Services, Inc. | Systems and methods for downhole fluid typing with pulsed neutron logging |
| US8849573B2 (en) * | 2010-03-15 | 2014-09-30 | Baker Hughes Incorporated | Method and apparatus for neutron porosity measurement using a neural network |
| US8583377B2 (en) * | 2011-10-26 | 2013-11-12 | Halliburton Energy Services, Inc. | Methods and systems of formation density measurements in the presence of invasion of drilling fluids |
| US9256701B2 (en) | 2013-01-07 | 2016-02-09 | Halliburton Energy Services, Inc. | Modeling wellbore fluids |
| US20140279772A1 (en) * | 2013-03-13 | 2014-09-18 | Baker Hughes Incorporated | Neuronal networks for controlling downhole processes |
| WO2014185932A1 (en) * | 2013-05-17 | 2014-11-20 | Halliburton Energy Services, Inc. | Pulsed neutron tool for downhole oil typing |
| EP3100076A4 (en) | 2014-04-28 | 2017-10-25 | Halliburton Energy Services, Inc. | Downhole evaluation with neutron activation measurement |
| WO2017155542A1 (en) * | 2016-03-11 | 2017-09-14 | Halliburton Energy Services, Inc. | Downhole cement evaluation using an artificial neural network |
| US9978164B2 (en) * | 2016-10-06 | 2018-05-22 | Halliburton Energy Services, Inc. | Enhanced visualization method for down hole diagnostics and characterization |
| CN112925006A (zh) * | 2019-12-05 | 2021-06-08 | 核工业西南物理研究院 | 一种磁约束装置聚变中子实时能谱解谱方法 |
| US11348218B2 (en) * | 2020-03-30 | 2022-05-31 | Halliburton Energy Services, Inc. | Hybrid interpretation approach for borehole imaging |
| US11703611B2 (en) * | 2021-09-16 | 2023-07-18 | China Petroleum & Chemical Corporation | Computer-implemented method of using a non-transitory computer readable memory device with a pre programmed neural network and a trained neural network computer program product for obtaining a true borehole sigma and a true formation sigma |
| CN114527514B (zh) * | 2022-02-25 | 2024-08-23 | 吉林大学 | 一种基于模型压缩和加速的神经网络实时航磁补偿方法 |
| CN115267928B (zh) * | 2022-09-28 | 2022-12-23 | 中石化经纬有限公司 | 一种用于随钻元素测井的能谱智能处理方法 |
| CN119291803B (zh) * | 2024-12-16 | 2025-03-14 | 中国电建集团成都勘测设计研究院有限公司 | 基于层次分析法的隧道超前地质预报方法 |
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-
2008
- 2008-08-26 US US12/740,726 patent/US8660796B2/en active Active
- 2008-08-26 BR BRPI0820365 patent/BRPI0820365A2/pt not_active IP Right Cessation
- 2008-08-26 MX MX2010006102A patent/MX2010006102A/es active IP Right Grant
- 2008-08-26 CA CA2701109A patent/CA2701109C/en not_active Expired - Fee Related
- 2008-08-26 WO PCT/US2008/074322 patent/WO2010024802A1/en not_active Ceased
-
2010
- 2010-05-12 NO NO20100698A patent/NO20100698L/no not_active Application Discontinuation
- 2010-05-30 EG EG2010050895A patent/EG26558A/en active
Also Published As
| Publication number | Publication date |
|---|---|
| CA2701109A1 (en) | 2009-03-04 |
| US8660796B2 (en) | 2014-02-25 |
| CA2701109C (en) | 2015-06-16 |
| US20110137566A1 (en) | 2011-06-09 |
| EG26558A (en) | 2014-02-16 |
| BRPI0820365A2 (pt) | 2015-05-12 |
| WO2010024802A1 (en) | 2010-03-04 |
| MX2010006102A (es) | 2010-07-02 |
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| FC2A | Withdrawal, rejection or dismissal of laid open patent application |