Computer Aided History Matching of a Real Field Case

Grussaute, Th.; Gouel, P.

doi:10.2118/50642-ms

Cited by 10 publications

(2 citation statements)

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“…The Match Factor method proposed here integrates the concepts of measurement uncertainty, simulator limitations, and relative data importance into a single indicator of confidence in the match, which, in turn, indicates the confidence that the reservoir description in the simulator adequately represents the actual reservoir. Past attempts to develop automated history matching procedures have relied on minimizing an objective function based on a power law function of deviations and weighting factors [2][3][4][5] . The Match Factor method proposed here is not proposed for that purpose, but it does use deviation results and weighting factors to assess the degree of the match.…”

Section: History Match Evaluation Using Match Factormentioning

confidence: 99%

Using Statistics To Evaluate A History Match

David¹,

Saad²,

Hugh³

2002

Proceedings of SPE/DOE Improved Oil Recovery Symposium

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TX 75083-3836, U.S.A., fax 01-972-952-9435. AbstractThree methods are proposed for quickly evaluating the history match of a numerical simulation to actual reservoir performance. All of the methods rely on computing a set of deviation values, each of which is defined to be a calculated simulator result minus the corresponding surveillance measurement value.For any particular type of surveillance data, such as rates, watercuts, or gas-oil ratios, the deviation values can be grouped by well, by area, or combining all measurements in the database. The first two proposed methods rely on simple graphical presentations of each group of deviation values to show how well the simulation results match the surveillance data. Plotting together the results from more than one simulation run allows a quick comparison of the match for each run, which is useful during the history match process.The third method converts each deviation value to a quantity called Match Factor, which is a relative measure of the confidence that the simulator actually reproduced the particular reservoir performance at the time the surveillance measurement was made. Weighted-average Match Factors can reveal the degree of match by well, by area, and by data type.These techniques are especially valuable when matching reservoirs with a large volume of surveillance data. They can help focus the history matching process by identifying areas less well matched. They can identify when the history matching process is not significantly improving the match and can stop. * Now with Phillips Alaska, Inc.

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Section: History Match Evaluation Using Match Factormentioning

confidence: 99%

Using Statistics To Evaluate A History Match

David¹,

Saad²,

Hugh³

2002

Proceedings of SPE/DOE Improved Oil Recovery Symposium

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“…The history-matching problem is generally transformed into a problem of minimisation of an objective function. For practical cases the gradient method has been successfully used [17][18][19] . Our aim is to use these techniques in well test and multilayer transient test analysis.…”

Section: Spe 62917mentioning

confidence: 99%

Advances in Multilayer Reservoir Testing and Analysis using Numerical Well Testing and Reservoir Simulation

Jackson

Banerjee

2000

All Days

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TX 75083-3836, U.S.A., fax 01-972-952-9435. AbstractThis paper presents multilayer testing and analysis techniques to obtain layer permeabilities and skin factors using pressure and flowrate transient data from sequential flow tests acquired with production logging tools. The analysis of these tests by application of numerical well test analysis is highlighted. An integrated workflow is shown and a new analysis technique is presented which incorporates numerical reservoir simulation and an automated history matching procedure. A gradient method has been successfully applied to modify simulation model input parameters to match synthetic and field examples of multilayer transient tests. The study also highlights the potential for the application of this method and for automated history matching techniques to pressure transient and flowrate transient analysis and multilayer test analysis and interpretation.

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A review of automatic history matching

Abdulrazzaq

Hasan

2023

Materials Today: Proceedings

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Computer Aided History Matching of a Real Field Case

Cited by 10 publications

References 0 publications

Using Statistics To Evaluate A History Match

Using Statistics To Evaluate A History Match

Advances in Multilayer Reservoir Testing and Analysis using Numerical Well Testing and Reservoir Simulation

A review of automatic history matching

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