Method for identifying reef-shoal reservoir in faulted lacustrine basin based on “basement structure-paleogeomorphology-seismic facies” progressive constraint

Patent metadata

Field	Value
Publication number	US-11656376-B2
Application number	US-202217721531-A
Country	US
Kind code	B2
Filing date	Apr 15, 2022
Priority date	Apr 16, 2021
Publication date	May 23, 2023
Grant date	May 23, 2023

Abstract

A method for identifying a reef-shoal reservoir in a faulted lacustrine basin based on a basement structure-paleogeomorphology-seismic facies progressive constraint, including: analyzing a basement structure of a work area; establishing a paleogeomorphology classification standard according to thickness, reflection structure and stratigraphic dip; based on well-seismic calibration and forward modeling, establishing a seismic facies classification standard for reef-shoal facies belts under different paleo-geomorphic conditions, and quantitatively predicting and describing a reservoir in the reef-shoal facies belts using seismic facies-controlled inversion; and according to analysis results of basement structure characteristic, paleogeomorphology classification and seismic facies, establishing a method for predicting a favorable reservoir.

First claim

What is claimed is:

1. A method for identifying a reef-bank reservoir in a faulted lacustrine basin based on a basement structure-paleogeomorphology-seismic facies progressive constraint, the method comprising:
(1) analyzing a basement structure of a work area to obtain a basement structure characteristic of the work area, expressed as follows:
G =Analyse( S );

wherein S is seismic data; Analyse(•) represents basement structure analysis on the seismic data; and G is a basement structure analysis result;
(2) establishing a paleogeomorphology classification standard according to thickness, reflection structure and stratigraphic dip to determine types of paleogeomorphology, so as to determine a development characteristic of different paleo-geomorphic reefs and banks, expressed as follows:
AI =Norm( H,R,D );

wherein H is the thickness; R is the reflection structure; D is the stratigraphic dip; Norm(•) is the paleogeomorphology classification standard; and AI is paleogeomorphology type;
(3) analyzing a seismic facies characteristic of lacustrine biolithites in different paleo-geomorphic parts through well-seismic fine calibration and forward modeling; and establishing a reef-bank identification method based on a paleogeomorphology-seismic facies constraint, expressed as follows:
M=F [ AI,SF ( ws,nm )];

wherein ws is a result of the well-seismic fine calibration; nm is the forward modeling; SF(•) is a seismic facies analysis; and F(•) represents method construction; and M represents the reef-bank identification method based on the paleogeomorphology-seismic facies constraint;
(4) combining with the basement structure analysis result, establishing a geology-geophysics integrated reservoir evaluation standard based on the basement structure-paleogeomorphology-seismic facies progressive constraint, expressed as follows:
Cn=B ( G,M );

wherein B(•) indicates progressive constraining; Cn is the geology-geophysics integrated reservoir evaluation standard;
(5) identifying a favorable reef-bank reservoir in the faulted lacustrine basin based on the basement structure-paleogeomorphology-seismic facies progressive constraint; and
repeating steps (1) to (5) until data interpretations of the entire work area are processed, so as to obtain a prediction result of the favorable reef-bank reservoir in the faulted lacustrine basin of the work area; and
(6) locating different types of favorable areas based on the prediction result of the favorable reef-bank reservoir, and drilling wells in the work area according to the different types of favorable areas.

Assignees

• Univ Chengdu Technology

Inventors

• Wen Huaguo
• Luo Xin
• Peng Cai
• Li Yun
• Wei Yan

Classifications

• G01V1/30 Primary

  Analysis (G01V1/50 takes precedence) · CPC title

• G01V2210/60

  Analysis · CPC title

• G01V1/306 Primary

  for determining physical properties of the subsurface, e.g. impedance, porosity or attenuation profiles · CPC title

• G01V2210/624

  Reservoir parameters · CPC title

• G01V20/00 Primary

  Geomodelling in general · CPC title