Method of quantitative evaluation on structural disturbance characteristics of present in-situ geo-stress in deep shale gas reservoirs

Patent metadata

Field	Value
Publication number	US-12360283-B2
Application number	US-202217953496-A
Country	US
Kind code	B2
Filing date	Sep 27, 2022
Priority date	Sep 26, 2021
Publication date	Jul 15, 2025
Grant date	Jul 15, 2025

Abstract

Disclosed is a method of quantitatively evaluating structural disturbance characteristics of present in-situ geo-stress in deep shale gas reservoirs, including: measuring geomechanics key parameters of key wells in different tectonic zones within a study area; performing interpretations of single-well profile rock mechanics and continuity of the in-situ geo-stress in magnitude and direction; establishing a geological model; performing anisotropic sequential Gaussian stochastic simulation to obtain three-dimensional (3D) heterogeneous rock mechanics parameter field distribution; performing prediction of distribution of geo-stress states in the study area, and calculating a stress structural index and stress disturbance factor of the target layer and a rotation degree of a maximum horizontal principal stress; and performing quantitative evaluation on an in-situ geo-stress structural disturbance and mapping.

First claim

What is claimed is:

1. A method of evaluating structural disturbance characteristics of in-situ geo-stress in shale gas reservoirs, comprising:
(S 1 ) measuring geomechanics key parameters of key wells in different tectonic zones within a study area;
(S 2 ) performing interpretations of single-well profile rock mechanics and continuity of the in-situ geo-stress in magnitude and orientation through combination of full-wave logging, multi-caliper logging, imaging logging, extraction of anisotropic transverse wave velocity from a cross-well seismic profile, and interpretation of magnitude of the in-situ geo-stress through a hydraulic fracturing construction curve;
(S 3 ) establishing a geological model by using Petrel software based on stratigraphical model, tectonic surface model, and overlying strata model of a target layer;
(S 4 ) performing anisotropic sequential Gaussian stochastic simulation to obtain three-dimensional (3D) heterogeneous rock mechanics parameter field distribution based on constraint of an elastic parameter of 3D seismic attribute inversion in the study area, and test values of rock mechanics parameters of well sites in the different tectonic zones and the interpretations of the single-well profile rock mechanics;
(S 5 ) performing mesh generation by using adaptive mesh refinement; inputting a final numerical model into a Flac3D simulation and calculation software for simulation and prediction of distribution of in-situ geo-stress states in the study area; and calculating a stress structural index of the target layer and a rotation degree of a maximum horizontal principal stress;
(S 6 ) performing quantitative evaluation on an in-situ geo-stress structural disturbance in the study area; performing graded and partitioned evaluation on three principal stress states and orientation characteristics of the maximum horizontal principal stress existing in deep strata in a complex tectonic region; and displaying three principal stress structures of the complex tectonic region on a map.

2. The method of claim 1 , wherein the geomechanics key parameters comprise rock mechanical properties, and three principal stress magnitude and orientation.

3. The method of claim 1 , wherein in the step (S 3 ), the geological model is established by adopting an idea of from a regional structure to a local structure and then to a single-well structure, which complies with principles of large-to-small construction, step-by-step constraint, and overall control.

4. The method of claim 1 , wherein in the step (S 4 ), for a fault, 3D rock mechanics heterogeneous assignment within the fault is completed based on an equivalent elastic parameter assignment method for a fracture-containing rock medium, combined with fracture density and fracture rate of a fracture.

5. The method of claim 1 , wherein in the step (S 5 ), after the final numerical model is input into the Flac3D simulation and calculation software, loading boundary, mode, and initial size are set, and well site stress magnitude and orientation are used as fitting points for simulation; and meanwhile, a graphic processing unit (GPU) cloud computing platform is used for the prediction of the distribution of the in-situ geo-stress states.

6. The method of claim 1 , wherein in the step (S 5 ), the simulation and prediction of the distribution of the in-situ geo-stress states is performed by the Flac3D simulation and calculation software through steps of:
establishing a first 3D geological model based on a distribution map of geological elements of the target layer;
establishing a second 3D geological model based on a geological element distribution map of the target layer;
defining structural unit types and material property parameters;
generating a mesh mathematical model; and performing accuracy evaluation on the mesh mathematical model;
loading boundary conditions and external loads; and
solving the mesh mathematical model followed by result display and map output.

7. The method of claim 6 , wherein the geological model is built by using the Petrel software; and the mesh mathematical model is generated by using a Rhinoceros modeling software and is solved by using the Flac3D simulation and calculation software.

Assignees

• Univ Chengdu Technology

Inventors

• He Jianhua
• Deng Hucheng
• Ma Ruolong
• Li Kesai
• Li Yong

Classifications

• G01V2210/6169

  using well-logging · CPC title

• E21B49/006

  Measuring wall stresses in the borehole · CPC title

• E21B2200/20

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

• G01V2210/66

  Subsurface modeling · CPC title

• G01V2210/646

  Fractures · CPC title