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

Patent metadata

Field	Value
Publication number	US-12429626-B2
Application number	US-202418662259-A
Country	US
Kind code	B2
Filing date	May 13, 2024
Priority date	Feb 2, 2024
Publication date	Sep 30, 2025
Grant date	Sep 30, 2025

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.

First claim

What is claimed is:

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

Assignees

• Univ China Petroleum Beijing
• China Univ Of Petroleum—Beijing

Inventors

• Wang Daigang
• CHEN Jin
• Li Yong
• Song Kaoping
• Song Yang
• Wang Xiukun
• Wang Qi
• Huang Bin
• Chen Lifeng
• Fu Cheng
• Qi Xinxuan

Classifications

• E21B2200/22

  Fuzzy logic, artificial intelligence, neural networks or the like · CPC title

• E21B2200/20

  Computer models or simulations, e.g. for reservoirs under production, drill bits · CPC title

• E21B49/0875

  determining specific fluid parameters · CPC title

• Y02A10/40

  Controlling or monitoring, e.g. of flood or hurricane; Forecasting, e.g. risk assessment or mapping · CPC title

• G06F2113/08

  Fluids · CPC title