MX356465B - Metodo y aparato para interpretacion de datos de probador de formacion con modelos de flujo diversos. - Google Patents
Metodo y aparato para interpretacion de datos de probador de formacion con modelos de flujo diversos.Info
- Publication number
- MX356465B MX356465B MX2014015840A MX2014015840A MX356465B MX 356465 B MX356465 B MX 356465B MX 2014015840 A MX2014015840 A MX 2014015840A MX 2014015840 A MX2014015840 A MX 2014015840A MX 356465 B MX356465 B MX 356465B
- Authority
- MX
- Mexico
- Prior art keywords
- formation
- interest
- desired location
- flow models
- parameter
- Prior art date
Links
- 230000015572 biosynthetic process Effects 0.000 title abstract 8
- 238000000034 method Methods 0.000 title abstract 4
- 230000009897 systematic effect Effects 0.000 abstract 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V20/00—Geomodelling in general
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- 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
- E21B49/08—Obtaining fluid samples or testing fluids, in boreholes or wells
- E21B49/087—Well testing, e.g. testing for reservoir productivity or formation parameters
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/12—Computing arrangements based on biological models using genetic models
- G06N3/126—Evolutionary algorithms, e.g. genetic algorithms or genetic programming
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Theoretical Computer Science (AREA)
- Software Systems (AREA)
- General Physics & Mathematics (AREA)
- Mining & Mineral Resources (AREA)
- Geology (AREA)
- Health & Medical Sciences (AREA)
- Biophysics (AREA)
- General Engineering & Computer Science (AREA)
- Computing Systems (AREA)
- Mathematical Physics (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Geochemistry & Mineralogy (AREA)
- Medical Informatics (AREA)
- Environmental & Geological Engineering (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Fluid Mechanics (AREA)
- Molecular Biology (AREA)
- Physiology (AREA)
- Genetics & Genomics (AREA)
- Biomedical Technology (AREA)
- General Health & Medical Sciences (AREA)
- Computational Linguistics (AREA)
- Geophysics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Image Analysis (AREA)
- Complex Calculations (AREA)
- Investigating Or Analysing Biological Materials (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
Se describe una metodología de inversión sistemática mejorada aplicada a la interpretación de datos de prueba de formaciones con módulos esféricos, radiales y/o cilíndricos. Un método para determinar un parámetro de una formación de interés en un lugar deseado comprende dirigir un probador de formaciones al lugar deseado en la formación de interés y obtener datos del lugar deseado en la formación de interés. Los datos obtenidos se relacionan con un primer parámetro en el lugar deseado de la formación de interés. Los datos obtenidos son sometidos a regresión para determinar un segundo parámetro en el lugar deseado de la formación de interés. La regresión de los datos obtenidos comprende el uso de un método seleccionado del grupo que consiste de un enfoque determinístico, un enfoque probabilístico, y un enfoque evolutivo.
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/US2012/043457 WO2013191693A1 (en) | 2012-06-21 | 2012-06-21 | Method and apparatus for formation tester data interpretation with diverse flow models |
Publications (2)
Publication Number | Publication Date |
---|---|
MX2014015840A MX2014015840A (es) | 2015-03-19 |
MX356465B true MX356465B (es) | 2018-05-30 |
Family
ID=46516820
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
MX2014015840A MX356465B (es) | 2012-06-21 | 2012-06-21 | Metodo y aparato para interpretacion de datos de probador de formacion con modelos de flujo diversos. |
Country Status (7)
Country | Link |
---|---|
US (3) | US11156741B2 (es) |
EP (1) | EP2864590A1 (es) |
AU (1) | AU2012382975B2 (es) |
BR (1) | BR112014031819B1 (es) |
CA (1) | CA2877479A1 (es) |
MX (1) | MX356465B (es) |
WO (1) | WO2013191693A1 (es) |
Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2014120323A1 (en) * | 2013-01-31 | 2014-08-07 | Schlumberger Canada Limited | Methods for analyzing formation tester pretest data |
NO346823B1 (en) * | 2013-06-19 | 2023-01-16 | Nat Oilwell Varco Norway As | Method and apparatus for real-time fluid compressibility measurements |
NO20211205A1 (es) | 2019-05-30 | 2021-10-07 |
Family Cites Families (19)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7059179B2 (en) | 2001-09-28 | 2006-06-13 | Halliburton Energy Services, Inc. | Multi-probe pressure transient analysis for determination of horizontal permeability, anisotropy and skin in an earth formation |
US6832515B2 (en) * | 2002-09-09 | 2004-12-21 | Schlumberger Technology Corporation | Method for measuring formation properties with a time-limited formation test |
US7526953B2 (en) * | 2002-12-03 | 2009-05-05 | Schlumberger Technology Corporation | Methods and apparatus for the downhole characterization of formation fluids |
CA2540152C (en) * | 2003-09-26 | 2011-11-22 | Chahe Nerguizian | Method and system for indoor geolocation using an impulse response fingerprinting technique |
US7725302B2 (en) * | 2003-12-02 | 2010-05-25 | Schlumberger Technology Corporation | Method and system and program storage device for generating an SWPM-MDT workflow in response to a user objective and executing the workflow to produce a reservoir response model |
US20050270903A1 (en) * | 2004-06-04 | 2005-12-08 | Schlumberger Technology Corporation | Method for continuous interpretation of monitoring data |
US7277796B2 (en) | 2005-04-26 | 2007-10-02 | Schlumberger Technology Corporation | System and methods of characterizing a hydrocarbon reservoir |
US20070215556A1 (en) | 2006-03-20 | 2007-09-20 | Sensis Corporation | System for detection and prediction of water nitrification |
FR2909200B1 (fr) * | 2006-11-23 | 2009-07-03 | Total Sa | Procede, programme et systeme informatique de simulation de chenaux |
EP2118738A4 (en) * | 2006-12-28 | 2014-07-02 | Chevron Usa Inc | METHOD, SYSTEM AND DEVICE FOR STORING HISTORIC COMPARISON PROGRAMS AND PREDICTION RELATING TO HYDROCARBON PITCHING RESERVOIR ROCKS USING APPROXIMATIONS FOR RESEMBLY FUNCTIONS |
CA2679649C (en) | 2007-02-27 | 2012-05-08 | Precision Energy Services, Inc. | System and method for reservoir characterization using underbalanced drilling data |
FR2919932B1 (fr) | 2007-08-06 | 2009-12-04 | Inst Francais Du Petrole | Methode pour evaluer un schema de production d'un gissement souterrain en tenant compte des incertitudes |
US7920970B2 (en) * | 2008-01-24 | 2011-04-05 | Schlumberger Technology Corporation | Methods and apparatus for characterization of petroleum fluid and applications thereof |
US20090204328A1 (en) * | 2008-02-12 | 2009-08-13 | Precision Energey Services, Inc. | Refined analytical model for formation parameter calculation |
US20100076740A1 (en) * | 2008-09-08 | 2010-03-25 | Schlumberger Technology Corporation | System and method for well test design and interpretation |
AU2009320119B2 (en) * | 2008-11-03 | 2015-11-26 | Schlumberger Technology B.V. | Methods and apparatus for planning and dynamically updating sampling operations while drilling in a subterranean formation |
US10428626B2 (en) * | 2010-10-18 | 2019-10-01 | Schlumberger Technology Corporation | Production estimation in subterranean formations |
WO2012144979A1 (en) * | 2011-04-18 | 2012-10-26 | Halliburton Energy Services, Inc. | Methods and systems for estimating formation resistivity and porosity |
US10578766B2 (en) * | 2013-08-05 | 2020-03-03 | Advantek International Corp. | Quantifying a reservoir volume and pump pressure limit |
-
2012
- 2012-06-21 CA CA 2877479 patent/CA2877479A1/en not_active Abandoned
- 2012-06-21 WO PCT/US2012/043457 patent/WO2013191693A1/en active Application Filing
- 2012-06-21 BR BR112014031819-0A patent/BR112014031819B1/pt active IP Right Grant
- 2012-06-21 US US14/404,328 patent/US11156741B2/en active Active
- 2012-06-21 EP EP12735972.7A patent/EP2864590A1/en not_active Withdrawn
- 2012-06-21 MX MX2014015840A patent/MX356465B/es active IP Right Grant
- 2012-06-21 AU AU2012382975A patent/AU2012382975B2/en not_active Ceased
-
2021
- 2021-09-21 US US17/480,986 patent/US11994644B2/en active Active
-
2022
- 2022-04-19 US US17/723,920 patent/US12105243B2/en active Active
Also Published As
Publication number | Publication date |
---|---|
BR112014031819B1 (pt) | 2021-02-09 |
CA2877479A1 (en) | 2013-12-27 |
US20150127262A1 (en) | 2015-05-07 |
US20220252759A1 (en) | 2022-08-11 |
AU2012382975B2 (en) | 2016-09-15 |
WO2013191693A1 (en) | 2013-12-27 |
US20220003892A1 (en) | 2022-01-06 |
MX2014015840A (es) | 2015-03-19 |
US11994644B2 (en) | 2024-05-28 |
BR112014031819A2 (pt) | 2017-06-27 |
US12105243B2 (en) | 2024-10-01 |
EP2864590A1 (en) | 2015-04-29 |
US11156741B2 (en) | 2021-10-26 |
AU2012382975A1 (en) | 2015-02-05 |
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Legal Events
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FG | Grant or registration |