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 PDF

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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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Prior art keywords
streamline
grid
shortest
cell
fastest
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US14/377,800
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English (en)
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Marko Maucec
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Landmark Graphics Corp
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Landmark Graphics Corp
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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)
US14/377,800 2012-02-10 2012-02-10 Systems and Methods for Estimating Fluid Breakthrough Times at Producing Well Locations Abandoned US20150039276A1 (en)

Applications Claiming Priority (1)

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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

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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)

* Cited by examiner, † Cited by third party
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)

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Publication number Priority date Publication date Assignee Title
AU2018212812A1 (en) 2017-01-26 2019-08-15 Dassault Systemes Simulia Corp. Multi-phase flow visualizations based on fluid occupation time
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

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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

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WO2004095259A1 (fr) * 2003-03-26 2004-11-04 Exxonmobil Upstream Research Company Prevision de performance de processus de recuperation d'hydrocarbure
WO2009076149A2 (fr) * 2007-12-07 2009-06-18 Landmark Graphics Corporation, A Halliburton Company Systèmes et procédés d'utilisation de résultats de simulation de flux basés sur des cellules pour calculer des trajectoires aérodynamiques

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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

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Cited By (7)

* Cited by examiner, † Cited by third party
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

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Publication number Publication date
EP2795528A4 (fr) 2016-06-29
AR089973A1 (es) 2014-10-01
AU2012369161A1 (en) 2014-07-24
WO2013119248A2 (fr) 2013-08-15
RU2014130786A (ru) 2016-04-10
MX2014008897A (es) 2014-09-22
CN104067290A (zh) 2014-09-24
WO2013119248A3 (fr) 2014-04-17
CA2863156A1 (fr) 2013-08-15
EP2795528A2 (fr) 2014-10-29
AU2012369161B2 (en) 2015-05-28
BR112014017652A8 (pt) 2017-07-11
BR112014017652A2 (fr) 2017-06-20
RU2590265C2 (ru) 2016-07-10

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