AR128207A1 - Mediciones de propiedades de la roca basadas en datos de espectroscopía - Google Patents
Mediciones de propiedades de la roca basadas en datos de espectroscopíaInfo
- Publication number
- AR128207A1 AR128207A1 ARP230100025A ARP230100025A AR128207A1 AR 128207 A1 AR128207 A1 AR 128207A1 AR P230100025 A ARP230100025 A AR P230100025A AR P230100025 A ARP230100025 A AR P230100025A AR 128207 A1 AR128207 A1 AR 128207A1
- Authority
- AR
- Argentina
- Prior art keywords
- rock properties
- rock
- geological
- measurements
- formations
- Prior art date
Links
- 238000005259 measurement Methods 0.000 title 1
- 238000004611 spectroscopical analysis Methods 0.000 title 1
- 230000015572 biosynthetic process Effects 0.000 abstract 6
- 238000005755 formation reaction Methods 0.000 abstract 6
- 239000011435 rock Substances 0.000 abstract 5
- 238000013507 mapping Methods 0.000 abstract 2
- 238000000034 method Methods 0.000 abstract 1
Classifications
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- 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
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B41/00—Equipment or details not covered by groups E21B15/00 - E21B40/00
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B49/00—Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
- G06N20/10—Machine learning using kernel methods, e.g. support vector machines [SVM]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/044—Recurrent networks, e.g. Hopfield networks
- G06N3/0442—Recurrent networks, e.g. Hopfield networks characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/047—Probabilistic or stochastic networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/084—Backpropagation, e.g. using gradient descent
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N7/00—Computing arrangements based on specific mathematical models
- G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B2200/00—Special features related to earth drilling for obtaining oil, gas or water
- E21B2200/22—Fuzzy logic, artificial intelligence, neural networks or the like
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Physics & Mathematics (AREA)
- Software Systems (AREA)
- Computing Systems (AREA)
- Artificial Intelligence (AREA)
- Mathematical Physics (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Computational Linguistics (AREA)
- Geology (AREA)
- General Health & Medical Sciences (AREA)
- Biophysics (AREA)
- Biomedical Technology (AREA)
- Health & Medical Sciences (AREA)
- Molecular Biology (AREA)
- Mining & Mineral Resources (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Probability & Statistics with Applications (AREA)
- Environmental & Geological Engineering (AREA)
- Geochemistry & Mineralogy (AREA)
- Fluid Mechanics (AREA)
- Pure & Applied Mathematics (AREA)
- Computational Mathematics (AREA)
- Mathematical Optimization (AREA)
- Algebra (AREA)
- Medical Informatics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Mathematical Analysis (AREA)
- High Energy & Nuclear Physics (AREA)
- Geophysics (AREA)
- Geophysics And Detection Of Objects (AREA)
Abstract
Las propiedades de la roca de una formación geológica pueden determinarse mediante el uso de datos que representan la concentración elemental dentro de la formación geológica. Por ejemplo, los datos que representan la concentración elemental dentro de la formación geológica pueden proporcionarse como entrada a una función de mapeo. La función de mapeo puede capturar relaciones no lineales entre las concentraciones de elementos medibles en formaciones geológicas de roca y determinadas propiedades de la roca de dichas formaciones de roca. Modalidades de la presente descripción se refieren a técnicas para mejorar las determinaciones de las propiedades de la roca de formaciones geológicas.
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US202263266425P | 2022-01-05 | 2022-01-05 |
Publications (1)
Publication Number | Publication Date |
---|---|
AR128207A1 true AR128207A1 (es) | 2024-04-10 |
Family
ID=87074249
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
ARP230100025A AR128207A1 (es) | 2022-01-05 | 2023-01-05 | Mediciones de propiedades de la roca basadas en datos de espectroscopía |
Country Status (2)
Country | Link |
---|---|
AR (1) | AR128207A1 (es) |
WO (1) | WO2023133176A1 (es) |
Family Cites Families (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8101907B2 (en) * | 2006-04-19 | 2012-01-24 | Baker Hughes Incorporated | Methods for quantitative lithological and mineralogical evaluation of subsurface formations |
US20160266275A1 (en) * | 2015-03-10 | 2016-09-15 | Schlumberger Technology Corporation | Methods for estimating formation parameters |
US11079513B2 (en) * | 2017-11-08 | 2021-08-03 | Baker Hughes, LLC | Evaluation of formation composition using neutron induced gamma spectroscopy tools |
WO2019236489A1 (en) * | 2018-06-04 | 2019-12-12 | Schlumberger Technology Corporation | Measuring spectral contributions of elements in regions in and about a borehole using a borehole spectroscopy tool |
US11988802B2 (en) * | 2019-03-11 | 2024-05-21 | Schlumberger Technology Corporation | Estimating mineralogy and reconstructing elements of reservoir rock from spectroscopy data |
-
2023
- 2023-01-05 AR ARP230100025A patent/AR128207A1/es unknown
- 2023-01-05 WO PCT/US2023/010163 patent/WO2023133176A1/en unknown
Also Published As
Publication number | Publication date |
---|---|
WO2023133176A1 (en) | 2023-07-13 |
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