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Method for exploiting a geological reservoir from a reservoir model matched by the computation of an analytical law of conditional distribution of uncertain parameters of the model

a reservoir model and model technology, applied in the oil industry, can solve the problems of significant computation time, and achieve the effects of reducing computation time, faster processing of results, and better approximation of objective functions

Inactive Publication Date: 2014-01-16
INST FR DU PETROLE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

The invention is about a way to use a geological reservoir based on a model that takes into account the likelihood of certain parameters. The model is created by analyzing data and using a technique called "history-matching." The method uses an analytical law to get a better approximation of the actual function that the model is trying to solve. This helps to make the model faster and more accurate. Overall, the invention allows for better exploitation of geological reservoirs.

Problems solved by technology

The MCMC methods require a large number of flow simulations, which demands significant computation time.

Method used

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  • Method for exploiting a geological reservoir from a reservoir model matched by the computation of an analytical law of conditional distribution of uncertain parameters of the model
  • Method for exploiting a geological reservoir from a reservoir model matched by the computation of an analytical law of conditional distribution of uncertain parameters of the model
  • Method for exploiting a geological reservoir from a reservoir model matched by the computation of an analytical law of conditional distribution of uncertain parameters of the model

Examples

Experimental program
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Effect test

example 1

[0117]To illustrate the method, an exemplary synthetic application is described. The reservoir considered contains gas, oil and water initially. It is sealed by faults on two sides, and by an aquifer on the other sides. Production is done by depletion from six wells (PRO1, PRO4, PRO5, PRO11, PRO12, PRO15) with an oil production flow rate of 150 m3 / day imposed on each producing well for 10 years. During this production period, the aggregate of oil (V) and the gas / oil ratio (R) are collected for each producing well, as is the total aggregate of oil in the reservoir. These values are known with a relative noise of 4%. These data are illustrated by the curves of FIG. 6. FIG. 6a) corresponds to the volume (V) of the aggregate of oil for each producing well as a function of the time t expressed in years. FIG. 6b) corresponds to the gas / oil ratio (R) for each producing well as a function of the time t expressed in years.

[0118]The distribution of the petrophysical properties (porosity, perm...

example 2

[0126]This example makes it possible to detail the proposed methodology on an analytical example, which enables us to validate and study in depth the possible analytical forms of the a posteriori law for different cases. All the examples discussed here have been processed with the Matlab® software (MathWorks, United States) and the “Dacefit” toolbox to construct the kriging.

[0127]For this example, the flow simulator f is replaced by a linear model f(ti, θ)=tT, θ where θ=(θ1 . . . θD) is a vector of dimension D.

[0128]To test the matching method of the method according to the invention on this linear model, the following procedure is repeated for D=1, D=2 and D=3:

[0129]1. the reference value of 0 is fixed

[0130]2. n=10 points are chosen in the interval [0,1]D according to a latin hypercube, these points are denoted ti, i=1, . . . , n and the observations yi=tiT θ+εi are generated by randomly generating Gaussian variables εi by fixing on a value σε2. On the one hand, this step makes it ...

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Abstract

The invention is a method for exploiting a geological reservoir to exploit hydrocarbons or provide gas storage. The exploitation is defined on the basis of a reservoir model calibrated relative to dynamic data. The calibration is carried out by computing an objective function for a set of reservoir models. The objective function makes it possible to determine an analytical law of conditional distribution of the uncertain parameters of the model to generate new reservoir models added to the set of reservoir models.

Description

BACKGROUND OF THE INVENTION[0001]1. Field of the Invention[0002]The present invention relates to the technical field of the oil industry, and more particularly the exploitation of underground reservoirs, such as oil reservoirs or gas storage sites.[0003]2. Description of the Prior Art[0004]Optimization and exploitation of an oil deposit relies on a description that is as accurate as possible of the structure, of the petrophysical properties, of the fluid properties, and so on, of the deposit being studied. To do this, a software tool makes it possible to assess these aspects in an approximate manner which is the reservoir model. Such a model constitutes an experimental model of the subsoil, representative of its structure and of its behavior. Generally, this type of experimental model is represented on a computer, and it is then called a numerical model. A reservoir model comprises a mesh, or grid, generally three-dimensional, associated with one or more maps of petrophysical proper...

Claims

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Application Information

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Patent Type & Authority Applications(United States)
IPC IPC(8): E21B41/00G01V9/00
CPCE21B41/0092G06F30/28G01V20/00E21B2200/20E21B41/00
Inventor DA VEIGA, SEBASTIENGERVAIS-COUPLET, VERONIQUEFERAILLE, MATHIEU
Owner INST FR DU PETROLE