US20150039276A1 - Systems and Methods for Estimating Fluid Breakthrough Times at Producing Well Locations - Google Patents
Systems and Methods for Estimating Fluid Breakthrough Times at Producing Well Locations Download PDFInfo
- Publication number
- US20150039276A1 US20150039276A1 US14/377,800 US201214377800A US2015039276A1 US 20150039276 A1 US20150039276 A1 US 20150039276A1 US 201214377800 A US201214377800 A US 201214377800A US 2015039276 A1 US2015039276 A1 US 2015039276A1
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- 238000002347 injection Methods 0.000 claims description 23
- 239000007924 injection Substances 0.000 claims description 23
- 230000009545 invasion Effects 0.000 claims description 13
- 230000035699 permeability Effects 0.000 claims description 9
- 239000004576 sand Substances 0.000 description 8
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Images
Classifications
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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
- E21B47/00—Survey of boreholes or wells
- E21B47/10—Locating fluid leaks, intrusions or movements
-
- 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
- E21B43/00—Methods or apparatus for obtaining oil, gas, water, soluble or meltable materials or a slurry of minerals from wells
- E21B43/16—Enhanced recovery methods for obtaining hydrocarbons
- E21B43/20—Displacing by water
-
- 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
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A10/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE at coastal zones; at river basins
- Y02A10/40—Controlling or monitoring, e.g. of flood or hurricane; Forecasting, e.g. risk assessment or mapping
Definitions
- the present invention generally relates to estimating fluid breakthrough times at producing well locations. More particularly, the invention relates to estimating fluid breakthrough times at producing well locations based on fluid propagation simulations.
- HM technology has evolved tremendously and gained major recognition and expansion from the traditional (i.e. manual, deterministic) approach, mostly built on stratigraphic methods to new developments like probabilistic, streamline-based HM, sensitivity/gradient-based and experimental design.
- the present invention includes a method for estimating a fluid breakthrough time at a production well based on fluid propagation simulation data, comprising: i) identifying streamline tracking data; ii) calculating an average streamline travel time in each grid-cell based on the streamline tracking data; iii) identifying a shortest or fastest streamline for the production well using the average streamline travel time in each grid-cell; iv) calculating an average time-of-flight for the shortest or fastest streamline over each traversed grid-cell using a computer processor; and v) estimating the fluid breakthrough time at the production well using the fluid propagation simulation data, and the average time-of-flight for the shortest or fastest streamline.
- the present invention includes a non-transitory program carrier device tangibly carrying computer executable instructions for estimating a fluid breakthrough time at a production well.
- the instructions being executable to implement: i) identifying streamline tracking data; ii) calculating an average streamline travel time in each grid-cell based on the streamline tracking data; iii) identifying a shortest or fastest streamline for the production well using the average streamline travel time in each grid-cell; iv) calculating an average time-of-flight for the shortest or fastest streamline over each traversed grid-cell using; and v) estimating the fluid breakthrough time at the production well using the fluid propagation simulation data, and the average time-of-flight for the shortest or fastest streamline.
- FIG. 1 is a flow diagram illustrating one embodiment of a method for implementing the present invention.
- FIG. 2A illustrates the velocity and the direction of fluid propagating through a wide sand pocket.
- FIG. 6 illustrates the streamline travel time along its arc length within a given grid-cell (i,j,k) of a 2D permeability model.
- FIG. 7D illustrates the observed (measured) water-cut curve for the producing well P 4 in FIG. 4A .
- FIG. 1 a flow diagram illustrates one embodiment of a method 100 for implementing the present invention.
- Velocity vectors 202 , 204 are utilized in the FPS algorithm.
- the FPS algorithm is designed to perform one simulation of a numerical variable using the Eden simulation technique.
- the technique provides a faster alternative solution for a multiphase fluid flow simulation program.
- the technique combines a dual medium “black and white” example where white represents sand and black represents shale with one or more injection wells and one or more production wells as illustrated in FIG. 3 .
- the locations of sand facies 302 , 304 , 306 , and of two injection wells 307 , 308 are illustrated.
- step 104 the FPS data results from step 102 are identified, which includes the fluid invasion time given by the number of simulation iterations needed for the fluid to reach any production well (P m ) from an injection well through one or more grid-cells representing the reservoir property model.
- the streamline tracking data are identified using any well known technique, which include the number of streamline segments traversing each grid-cell (N SLN ), the travel time ( ⁇ ) for each streamline segment ( ⁇ m,n i,j,k ) in each grid-cell, the grid-cell indices and the total number of grid-cells traversed by all streamlines connecting an injection well with a production well.
- N SLN the number of streamline segments traversing each grid-cell
- ⁇ the travel time for each streamline segment in each grid-cell
- the grid-cell indices the total number of grid-cells traversed by all streamlines connecting an injection well with a production well.
- FIG. 6 the streamline travel time along its arc length within a given grid-cell of a 2D permeability model is illustrated.
- the shortest/fastest streamline is identified for each production well (P m ) using the average streamline travel time in each grid-cell from step 108 and any well-known searching algorithm.
- the shortest/fastest streamline is the streamline with the lowest sum of average streamline travel times ( ⁇ tilde over ( ⁇ ) ⁇ min ) in the grid-cells the streamline traverses between an injection well (I) and a production well (P m ).
- step 124 an estimate of the fluid breakthrough time for each production well (P m ) is calculated by combining the streamline tracking data from step 106 with the FPS data from step 104 , which may be calculated using the following equation:
- Table 2 lists the water invasion times calculated by the FPS algorithm the water breakthrough times (T B7 ) calculated using the proposed method in FIG. 1 and the uncertainty associated with result obtained by the proposed method in FIG. 1 .
- FIG. 8 a block diagram illustrates one embodiment of a system for implementing the present invention on a computer.
- the system includes a computing unit, sometimes referred to as a computing system, which contains memory, application programs, a client interface, a video interface, and a processing unit.
- the computing unit is only one example of a suitable computing environment and is not intended to suggest any limitation as to the scope of use or functionality of the invention.
- a client may enter commands and information into the computing unit through the client interface, which may be input devices such as a keyboard and pointing device, commonly referred to as a mouse, trackball or touch pad.
- Input devices may include a microphone, joystick, satellite dish, scanner, or the like.
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- Geology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Mining & Mineral Resources (AREA)
- Physics & Mathematics (AREA)
- Environmental & Geological Engineering (AREA)
- Fluid Mechanics (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Geochemistry & Mineralogy (AREA)
- Geophysics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Solid-Sorbent Or Filter-Aiding Compositions (AREA)
- Compounds Of Alkaline-Earth Elements, Aluminum Or Rare-Earth Metals (AREA)
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/US2012/024656 WO2013119248A2 (fr) | 2012-02-10 | 2012-02-10 | Systèmes et procédés d'évaluation de durées de percée de fluide des emplacements de puits de production |
Publications (1)
Publication Number | Publication Date |
---|---|
US20150039276A1 true US20150039276A1 (en) | 2015-02-05 |
Family
ID=48948146
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US14/377,800 Abandoned US20150039276A1 (en) | 2012-02-10 | 2012-02-10 | Systems and Methods for Estimating Fluid Breakthrough Times at Producing Well Locations |
Country Status (10)
Country | Link |
---|---|
US (1) | US20150039276A1 (fr) |
EP (1) | EP2795528A4 (fr) |
CN (1) | CN104067290A (fr) |
AR (1) | AR089973A1 (fr) |
AU (1) | AU2012369161B2 (fr) |
BR (1) | BR112014017652A8 (fr) |
CA (1) | CA2863156A1 (fr) |
MX (1) | MX2014008897A (fr) |
RU (1) | RU2590265C2 (fr) |
WO (1) | WO2013119248A2 (fr) |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20160312593A1 (en) * | 2014-01-24 | 2016-10-27 | Landmark Graphics Corporation | Optimized Acidizing Of A Production Well Near Aquifer |
US10191182B2 (en) | 2015-12-01 | 2019-01-29 | Saudi Arabian Oil Company | Accuracy of water break-through time prediction |
CN109902329A (zh) * | 2018-09-21 | 2019-06-18 | 长江大学 | 一种油藏模拟辅助历史拟合方法、系统、存储介质及设备 |
WO2020242455A1 (fr) * | 2019-05-28 | 2020-12-03 | Schlumberger Technology Corporation | Création d'un système de complétion basé sur des lignes de courant |
US10983233B2 (en) | 2019-03-12 | 2021-04-20 | Saudi Arabian Oil Company | Method for dynamic calibration and simultaneous closed-loop inversion of simulation models of fractured reservoirs |
CN117722164A (zh) * | 2024-02-18 | 2024-03-19 | 西南石油大学 | 一种有水气藏均匀水侵控制方法 |
Families Citing this family (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110573842B (zh) | 2017-01-26 | 2021-05-11 | 达索系统西姆利亚公司 | 基于流体占据时间的多相流可视化图 |
US11714040B2 (en) | 2018-01-10 | 2023-08-01 | Dassault Systemes Simulia Corp. | Determining fluid flow characteristics of porous mediums |
US10519768B2 (en) | 2018-02-21 | 2019-12-31 | Saudi Arabian Oil Company | Systems and methods for operating hydrocarbon wells to inhibit breakthrough based on reservoir saturation |
US11530598B2 (en) | 2018-08-21 | 2022-12-20 | Dassault Systemes Simulia Corp. | Determination of oil removed by gas via miscible displacement in reservoir rock |
US11847391B2 (en) | 2020-06-29 | 2023-12-19 | Dassault Systemes Simulia Corp. | Computer system for simulating physical processes using surface algorithm |
US11907625B2 (en) | 2020-12-29 | 2024-02-20 | Dassault Systemes Americas Corp. | Computer simulation of multi-phase and multi-component fluid flows including physics of under-resolved porous structures |
Citations (5)
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US20050010383A1 (en) * | 2002-07-11 | 2005-01-13 | Mickaele Le Ravalec-Dupin | Method of constraining a heterogeneous permeability field representing an underground reservoir by dynamic data |
US20080167849A1 (en) * | 2004-06-07 | 2008-07-10 | Brigham Young University | Reservoir Simulation |
US20100312535A1 (en) * | 2009-06-08 | 2010-12-09 | Chevron U.S.A. Inc. | Upscaling of flow and transport parameters for simulation of fluid flow in subsurface reservoirs |
US20110282635A1 (en) * | 2010-05-14 | 2011-11-17 | Conocophillips Company | Stochastic downscaling algorithm and applications to geological model downscaling |
US20110290479A1 (en) * | 2010-05-26 | 2011-12-01 | Chevron U.S.A. Inc. | System and method for enhancing oil recovery from a subterranean reservoir |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2004095259A1 (fr) * | 2003-03-26 | 2004-11-04 | Exxonmobil Upstream Research Company | Prevision de performance de processus de recuperation d'hydrocarbure |
US7680640B2 (en) * | 2007-12-07 | 2010-03-16 | Landmark Graphics Corporation | Systems and methods for utilizing cell based flow simulation results to calculate streamline trajectories |
-
2012
- 2012-02-10 AU AU2012369161A patent/AU2012369161B2/en not_active Ceased
- 2012-02-10 CN CN201280068076.7A patent/CN104067290A/zh active Pending
- 2012-02-10 RU RU2014130786/03A patent/RU2590265C2/ru not_active IP Right Cessation
- 2012-02-10 MX MX2014008897A patent/MX2014008897A/es active IP Right Grant
- 2012-02-10 EP EP12868041.0A patent/EP2795528A4/fr not_active Withdrawn
- 2012-02-10 BR BR112014017652A patent/BR112014017652A8/pt not_active IP Right Cessation
- 2012-02-10 WO PCT/US2012/024656 patent/WO2013119248A2/fr active Application Filing
- 2012-02-10 CA CA2863156A patent/CA2863156A1/fr not_active Abandoned
- 2012-02-10 US US14/377,800 patent/US20150039276A1/en not_active Abandoned
-
2013
- 2013-02-08 AR ARP130100432A patent/AR089973A1/es unknown
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
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US20050010383A1 (en) * | 2002-07-11 | 2005-01-13 | Mickaele Le Ravalec-Dupin | Method of constraining a heterogeneous permeability field representing an underground reservoir by dynamic data |
US20080167849A1 (en) * | 2004-06-07 | 2008-07-10 | Brigham Young University | Reservoir Simulation |
US20100312535A1 (en) * | 2009-06-08 | 2010-12-09 | Chevron U.S.A. Inc. | Upscaling of flow and transport parameters for simulation of fluid flow in subsurface reservoirs |
US20110282635A1 (en) * | 2010-05-14 | 2011-11-17 | Conocophillips Company | Stochastic downscaling algorithm and applications to geological model downscaling |
US20110290479A1 (en) * | 2010-05-26 | 2011-12-01 | Chevron U.S.A. Inc. | System and method for enhancing oil recovery from a subterranean reservoir |
Non-Patent Citations (4)
Title |
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Al Harbi, Mishal Habis. Streamline-based production data integration in naturally fractured reservoirs. Diss. Texas A&M University, 2005. * |
Olivera, Francisco, and David Maidment. "Geographic Information Systems (GIS)‐based spatially distributed model for runoff routing." Water Resources Research 35.4 (1999): 1155-1164. * |
Park, Han-Young, and Akhil Datta-Gupta. "Reservoir management using streamline-based flood efficiency maps and application to rate optimization." Journal of Petroleum Science and Engineering 109 (2013): 312-326. * |
Yin, Jichao, et al. "A hierarchical streamline-assisted history matching approach with global and local parameter updates." Journal of Petroleum Science and Engineering 80.1 (2011): 116-130. * |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20160312593A1 (en) * | 2014-01-24 | 2016-10-27 | Landmark Graphics Corporation | Optimized Acidizing Of A Production Well Near Aquifer |
US10337307B2 (en) * | 2014-01-24 | 2019-07-02 | Landmark Graphics Corporation | Optimized acidizing of a production well near aquifer |
US10191182B2 (en) | 2015-12-01 | 2019-01-29 | Saudi Arabian Oil Company | Accuracy of water break-through time prediction |
CN109902329A (zh) * | 2018-09-21 | 2019-06-18 | 长江大学 | 一种油藏模拟辅助历史拟合方法、系统、存储介质及设备 |
US10983233B2 (en) | 2019-03-12 | 2021-04-20 | Saudi Arabian Oil Company | Method for dynamic calibration and simultaneous closed-loop inversion of simulation models of fractured reservoirs |
WO2020242455A1 (fr) * | 2019-05-28 | 2020-12-03 | Schlumberger Technology Corporation | Création d'un système de complétion basé sur des lignes de courant |
CN117722164A (zh) * | 2024-02-18 | 2024-03-19 | 西南石油大学 | 一种有水气藏均匀水侵控制方法 |
Also Published As
Publication number | Publication date |
---|---|
RU2590265C2 (ru) | 2016-07-10 |
BR112014017652A8 (pt) | 2017-07-11 |
EP2795528A2 (fr) | 2014-10-29 |
AU2012369161A1 (en) | 2014-07-24 |
WO2013119248A2 (fr) | 2013-08-15 |
AR089973A1 (es) | 2014-10-01 |
CN104067290A (zh) | 2014-09-24 |
WO2013119248A3 (fr) | 2014-04-17 |
CA2863156A1 (fr) | 2013-08-15 |
AU2012369161B2 (en) | 2015-05-28 |
RU2014130786A (ru) | 2016-04-10 |
BR112014017652A2 (fr) | 2017-06-20 |
EP2795528A4 (fr) | 2016-06-29 |
MX2014008897A (es) | 2014-09-22 |
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AS | Assignment |
Owner name: LANDMARK GRAPHICS CORPORATION, TEXAS Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:MAUCEC, MARKO;REEL/FRAME:033650/0205 Effective date: 20120213 |
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Free format text: NON FINAL ACTION MAILED |
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STCB | Information on status: application discontinuation |
Free format text: ABANDONED -- FAILURE TO RESPOND TO AN OFFICE ACTION |