IP Library › Granted Patent US 12,429,626
Granted Patent B2
US 12,429,626 · App. 18/662,259 · Granted Sep 30, 2025

Method and device for data-driven fracture-cavity reservoir development and evaluation, and storage medium

Inventors: Daigang Wang (Beijing, CN); Jin Chen (Beijing, CN); Yong Li (Beijing, CN); Kaoping Song (Beijing, CN); Yang Song (Beijing, CN); Xiukun Wang (Beijing, CN); Qi Wang (Beijing, CN); Bin Huang (Beijing, CN); Lifeng Chen (Beijing, CN); Cheng Fu (Beijing, CN); Xinxuan Qi (Beijing, CN)
Assignee: China University of Petroleum—Beijing
G01V20/00E21B49/0875E21B2200/20E21B2200/22
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Quick Facts
Patent No.
US 12,429,626
App. No.
18/662,259
Granted
Sep 30, 2025
Kind
B2
Abstract

The present application provides a method and device for data-driven fracture-cavity reservoir development and evaluation and a storage medium. The method includes: obtaining a fracture-cavity spatial topological relationship, a geometric shape and a fracture-cavity physical model of fault-controlled fractures and cavities, and establishing a first fault-controlled fracture-cavity reservoir discrete spatial topological network model corresponding to the fault-controlled fractures and cavities according to the fracture-cavity spatial topological relationship and geometric shape; performing, according to the first fault-controlled fracture-cavity reservoir discrete spatial topological network model, modeling processing on quantitative representation of production performance of a fault-controlled fracture-cavity reservoir using fluid vertical equilibrium mechanism and non-Darcy flow law, to form a quantitative representation model of production performance of fault-controlled fracture-cavity reservoir; performing analyzing processing on the quantitative representation model to obtain a development performance characteristic of the fault-controlled fracture-cavity reservoir, and developing the fault-controlled fracture-cavity reservoir according to the development performance characteristic.

Claims (38)

1. A method for data-driven fracture-cavity reservoir development and evaluation, comprising:

obtaining a fracture-cavity spatial topological relationship, a geometric shape and a fracture-cavity physical model of fault-controlled fractures and cavities, and performing segmentation processing on the fault-controlled fractures and cavities according to the fracture-cavity spatial topological relationship and the geometric shape to obtain a plurality of segmented bodies; wherein the segmented bodies comprise fracture-segmented bodies and cavity-segmented bodies; performing analyzing processing on the plurality of segmented bodies to obtain geometric parameters of respective segmented bodies and a distance threshold value between the segmented bodies; establishing a first fault-controlled fracture-cavity reservoir discrete spatial topological network model corresponding to the fault-controlled fractures and cavities according to the geometric parameters and the distance threshold value establishing, according to the first fault-controlled fracture-cavity reservoir discrete spatial topological network model, a continuity equation and a motion equation of fluid in the fault-controlled fractures and cavities by using a fluid vertical equilibrium mechanism and a non-Darcy flow law;

performing coupling processing on the continuity equation and the motion equation to obtain a coupling result, and performing the modeling processing on the quantitative representation of the production performance of the fault-controlled fracture-cavity reservoir according to the coupling result, to form a quantitative representation model of the production performance of the fault-controlled fracture-cavity reservoir;

performing analyzing processing on the quantitative representation model of the production performance of the fault-controlled fracture-cavity reservoir to obtain a development performance characteristic of the fault-controlled fracture-cavity reservoir, and developing the fault-controlled fracture-cavity reservoir according to the development performance characteristic;

wherein the performing the analyzing processing on the quantitative representation model of the production performance of the fault-controlled fracture-cavity reservoir to obtain the development performance characteristic of the fault-controlled fracture-cavity reservoir comprises:

performing the analyzing processing on the quantitative representation model of the production performance of the fault-controlled fracture-cavity reservoir to obtain sensitive parameters corresponding to the fault-controlled fractures and cavities;

obtaining a cumulative oil production corresponding to the fault-controlled fractures and cavities, establishing a correspondence between the cumulative oil production and the sensitive parameters according to the sensitive parameters, and analyzing a sensitivity of the cumulative oil production according to the correspondence to obtain sensitive parameter values corresponding to the fault-controlled fractures and cavities;

processing the sensitive parameters by using a least square objective function to obtain performance representation parameters;

performing, according to the sensitive parameter values, inversion processing on the performance representation parameters by using a particle swarm algorithm to obtain the inversion result;

analyzing the sensitive parameters according to the inversion result to obtain the development performance characteristic of the fault-controlled fracture-cavity reservoir.

2. The method according to claim 1 , wherein before performing the analyzing processing on the quantitative representation model of the production performance of the fault-controlled fracture-cavity reservoir to obtain the development performance characteristic of the fault-controlled fracture-cavity reservoir, the method comprises:

performing fluid vertical equilibrium testing processing on the fracture-cavity physical model to obtain a first dynamic evolution law of oil-water distribution;

establishing a second fault-controlled fracture-cavity reservoir discrete spatial topological network model according to the fracture-cavity physical model, and performing fluid vertical equilibrium testing processing on the second fault-controlled fracture-cavity reservoir discrete spatial topological network model according to the quantitative representation model of the production performance of the fault-controlled fracture-cavity reservoir to obtain a second dynamic evolution law of oil-water distribution;

determining an accuracy parameter of the quantitative representation model of the production performance of the fault-controlled fracture-cavity reservoir according to the first dynamic evolution law and the second dynamic evolution law;

when the accuracy parameter indicates that the quantitative representation model of the production performance of the fault-controlled fracture-cavity reservoir is accurate, performing the analyzing processing on the quantitative representation model of the production performance of the fault-controlled fracture-cavity reservoir to obtain the development performance characteristic of the fault-controlled fracture-cavity reservoir.

3. A device for data-driven fracture-cavity reservoir development and evaluation, comprising: a processor and a memory;

the memory stores computer execution instructions;

the processor executes the computer execution instructions stored in the memory, so that the processor is configured to:

obtain a fracture-cavity spatial topological relationship, a geometric shape and a fracture-cavity physical model of fault-controlled fractures and cavities, and perform segmentation processing on the fault-controlled fractures and cavities according to the fracture-cavity spatial topological relationship and the geometric shape to obtain a plurality of segmented bodies; wherein the segmented bodies comprise fracture-segmented bodies and cavity-segmented bodies; perform analyzing processing on the plurality of segmented bodies to obtain geometric parameters of respective segmented bodies and a distance threshold value between the segmented bodies; establish a first fault-controlled fracture-cavity reservoir discrete spatial topological network model corresponding to the fault-controlled fractures and cavities according to the geometric parameters and the distance threshold value;

establish, according to the first fault-controlled fracture-cavity reservoir discrete spatial topological network model, a continuity equation and a motion equation of fluid in the fault-controlled fractures and cavities by using a fluid vertical equilibrium mechanism and a non-Darcy flow law; perform coupling processing on the continuity equation and the motion equation to obtain a coupling result, and perform the modeling processing on the quantitative representation of the production performance of the fault-controlled fracture-cavity reservoir according to the coupling result to form a quantitative representation model of the production performance the fault-controlled fracture-cavity reservoir;

perform analyzing processing on the quantitative representation model of the production performance of the fault-controlled fracture-cavity reservoir to obtain a development performance characteristic of the fault-controlled fracture-cavity reservoir, and develop the fault-controlled fracture-cavity reservoir according to the development performance characteristic;

wherein the processor is specifically configured to:

perform the analyzing processing on the quantitative representation model of the production performance of the fault-controlled fracture-cavity reservoir to obtain sensitive parameters corresponding to the fault-controlled fractures and cavities;

obtain a cumulative oil production corresponding to the fault-controlled fractures and cavities, establish a correspondence between the cumulative oil production and the sensitive parameters according to the sensitive parameters, and analyze a sensitivity of the cumulative oil production according to the correspondence to obtain sensitive parameter values corresponding to the fault-controlled fractures and cavities;

process the sensitive parameters by using a least square objective function to obtain performance representation parameters;

perform, according to the sensitive parameter values, inversion processing on the performance representation parameters by using a particle swarm algorithm to obtain the inversion result;

analyze the sensitive parameters according to the inversion result to obtain the development performance characteristic of the fault-controlled fracture-cavity reservoir.

4. The device according to claim 3 , wherein the processor is specifically configured to:

perform fluid vertical equilibrium testing processing on the fracture-cavity physical model to obtain a first dynamic evolution law of oil-water distribution;

establish a second fault-controlled fracture-cavity reservoir discrete spatial topological network model according to the fracture-cavity physical model, and performing fluid vertical equilibrium testing processing on the second fault-controlled fracture-cavity reservoir discrete spatial topological network model according to the quantitative representation model of the production performance of the fault-controlled fracture-cavity reservoir to obtain a second dynamic evolution law of oil-water distribution;

determine an accuracy parameter of the quantitative representation model of the production performance of the fault-controlled fracture-cavity reservoir according to the first dynamic evolution law and the second dynamic evolution law;

when the accuracy parameter indicates that the quantitative representation model of the production performance of the fault-controlled fracture-cavity reservoir is accurate, perform the analyzing processing on the quantitative representation model of the production performance of the fault-controlled fracture-cavity reservoir to obtain the development performance characteristic of the fault-controlled fracture-cavity reservoir.

5. A non-transitory computer-readable storage medium, wherein the non-transitory computer-readable storage medium has computer-executable instructions stored thereon, and when a processor executes the computer-executable instructions, the method for data-driven fracture-cavity reservoir development and evaluation according to claim 1 is implemented.

6. The non-transitory computer-readable storage medium according to claim 5 , wherein before performing the analyzing processing on the quantitative representation model of the production performance of the fault-controlled fracture-cavity reservoir to obtain the development performance characteristic of the fault-controlled fracture-cavity reservoir, the method comprises:

performing fluid vertical equilibrium testing processing on the fracture-cavity physical model to obtain a first dynamic evolution law of oil-water distribution;

establishing a second fault-controlled fracture-cavity reservoir discrete spatial topological network model according to the fracture-cavity physical model, and performing fluid vertical equilibrium testing processing on the second fault-controlled fracture-cavity reservoir discrete spatial topological network model according to the quantitative representation model of the production performance of the fault-controlled fracture-cavity reservoir to obtain a second dynamic evolution law of oil-water distribution;

determining an accuracy parameter of the quantitative representation model of the production performance of the fault-controlled fracture-cavity reservoir according to the first dynamic evolution law and the second dynamic evolution law;

when the accuracy parameter indicates that the quantitative representation model of the production performance of the fault-controlled fracture-cavity reservoir is accurate, performing the analyzing processing on the quantitative representation model of the production performance of the fault-controlled fracture-cavity reservoir to obtain the development performance characteristic of the fault-controlled fracture-cavity reservoir.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 13, 2024
From: WANG, DAIGANG; CHEN, JIN; LI, YONG; SONG, KAOPING; SONG, YANG; WANG, XIUKUN; WANG, QI; HUANG, BIN; CHEN, LIFENG; FU, CHENG; QI, XINXUAN
To: CHINA UNIVERSITY OF PETROLEUM—BEIJING
Reel/Frame 067393/0104 →
Priority Claims (1)
CN 202410154701 · Feb 2, 2024 · national
Continuity (1)
Related Publication 20250251527A1 · Aug 7, 2025
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