Time-lapse Seismic Data Analysis via Rock Physics Transform Grid

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current methods for analyzing time-lapse seismic data in reservoirs face challenges in quantitatively interpreting pressure and stress effects on seismic velocities, particularly in accurately transforming variations in compressional and shear velocities into saturation and pore pressure variations.

Innovation Solution

A system and method that utilize a rock physics model to calculate a transform function, which is then used to perform a domain transformation, enabling the estimation of reservoir parameters by overlaying cloud points onto a transform grid, thereby quantitatively analyzing time-lapse seismic data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional seismic inversion analysis is used to obtain compressional and shear velocities, then the analysis process is relatively simple, but the measurement precision of reservoir parameters (saturation and pore pressure) is insufficient

Engineering Contradiction:
Improvereservoir parameter estimation accuracyVSAvoidanalysis system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent introduces a rock physics model as an intermediary component that bridges the gap between seismic velocity data and reservoir parameters. The model establishes a quantitative relationship through transform functions, enabling accurate conversion of compressional and shear velocity variations into saturation and pore pressure estimates without requiring direct measurement of these parameters.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent employs parameter transformation by changing the domain from seismic velocity space to reservoir parameter space. Through domain transformation techniques, the system converts velocity data into meaningful reservoir characteristics, achieving precise parameter estimation while maintaining computational efficiency through systematic parameter relationships.

Inventive Principle:
Principle #35Parameter changes

2Measurement precision

If a rock physics model with domain transformation is applied to transform velocity variations into saturation and pore pressure variations, then the measurement precision of reservoir parameters is improved, but the device complexity increases

Engineering Contradiction:
Improvesaturation and pore pressure measurement accuracyVSAvoidtransform function and grid complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the complex transformation process into distinct components: rock physics model selection, transform function calculation, domain transformation, and cloud point overlay. This segmentation allows each component to be optimized independently and simplifies the overall implementation while maintaining high measurement precision through systematic breakdown of the analysis workflow.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS9383465B2Quantitative analysis of time-lapse seismic data
Publication Date: 2016.07.05 SCHLUMBERGER TECH CORP
  • US9383465B2 patent drawing
  • US9383465B2 patent drawing
  • US9383465B2 patent drawing

AI summary

A method for quantitative analysis of time-lapse seismic data of a reservoir, including: obtaining a plurality of compressional and shear velocities from a seismic inversion analysis; selecting a rock physics model based on a property of the reservoir; calculating a transform function using the rock physics model, where the transform function transforms variations in the plurality of compressional and shear velocities into variations in saturation and pore pressure; calculating a transform grid performing a domain transformation of the transform function; obtaining a plurality of cloud points from the seismic inversion analysis and the transform grid; and overlaying the plurality of cloud points onto the transform grid to estimate a plurality of reservoir parameters of the reservoir.