SPSA algorithm-based well test interpretation method for fractured well

A technology for well testing interpretation and fracturing wells, which is applied to wellbore/well components, earthwork drilling, and fluid production. state, the results of the analysis are reliable
CN110991045APending Publication Date: 2020-04-10CHINA PETROLEUM & CHEM CORP +1
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
CHINA PETROLEUM & CHEM CORP
Publication Date
2020-04-10

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Abstract

The invention provides an SPSA algorithm-based well test interpretation method for a fractured well. The SPSA algorithm-based well test interpretation method for the fractured well comprises the steps of: 1, selecting various fracture parameter iteration initial values and parameter values; 2, generating a simultaneous disturbance vector; 3, estimating a target function SUM; 4, approximately estimating a gradient; 5, correcting a current value, and updating an estimated value; and step 6, outputting an iteration result after iteration, and ending looping. The superiority of the SPSA algorithm-based well test interpretation method for the fractured well in the aspect of solving a high-dimensional optimization problem is embodied aiming at the conditions of more fractured crack parametersand overlarge well test interpretation calculation amount in the exploitation process of a low-permeability reservoir, and accurate parameters are provided for the exploitation of the low-permeabilityreservoir. The method has a certain popularization value.
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Description

technical field

[0001] The invention relates to the technical field of oilfield development, in particular to a method for interpreting fractured well tests based on the SPSA algorithm. Background technique

[0002] In recent years, low-permeability reservoirs account for more than 60%-70% of the proven petroleum geological reserves, which will be the main resource base for production growth in a long period of time in the future. Reasonable and effective research on low-permeability oil and gas fields development becomes crucial. There are many differences between low-permeability reservoirs and medium-high-permeability reservoirs, and the prominent performance is that low-permeability reservoirs must undergo fracturing to achieve economic productivity. At present, stochastic optimization methods in well test interpretation of fractured horizontal wells include genetic algorithm, BP neural network algorithm and ant colony algorithm. The genetic algorithm converges quickly...

Claims

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