Reverse-Time Seismic Reservoir Localization

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Solution Overview

Problem

Current seismic exploration methods for oil and gas are inefficient and costly due to imperfect information about subsurface reservoir locations, with existing geophysical and geological methods being time-consuming and environmentally impactful.

Innovation Solution

The method involves acquiring synchronous passive seismic data using arrays of sensors to detect naturally occurring seismic waves, applying reverse-time processing to locate subsurface reservoirs by back-propagating seismic energy and interpreting dynamic particle parameters such as displacement, velocity, and acceleration values.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If reflection seismic data acquisition and processing is used, then reservoir location information can be obtained, but the method is time-consuming and costly

Engineering Contradiction:
Improvereservoir location informationVSAvoidevaluation and exploration time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent applies reverse-time migration by inverting the conventional seismic processing timeline. Instead of forward propagation from source to receiver, the method back-propagates recorded seismic data through the subsurface velocity model to reconstruct the original reflector positions. This time inversion enables direct imaging of reservoir locations without lengthy conventional processing steps, resolving the contradiction between obtaining accurate location information and reducing evaluation time

Inventive Principle:
Principle #13The other way round (Inversion)

Solution Approach 2:

The patent replaces traditional mechanical reflection seismic acquisition with passive seismic methods using naturally occurring seismic waves or ambient vibrations. By substituting active seismic sources with passive detection of existing wave fields and applying reverse-time migration, the method achieves reservoir localization without the time-consuming and costly active survey processes

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If active source seismic surveying methods are used, then subsurface imaging can be achieved, but environmental impact increases

Engineering Contradiction:
Improvesubsurface imaging qualityVSAvoidenvironmental impact
Core Design Contradiction:
Measurement precisionVSObject-affected harmful factors

Solution Approach 1:

The patent substitutes active mechanical seismic sources with passive detection methods. Instead of using explosive charges, vibrators, or other active sources that cause environmental disturbance, the method utilizes naturally occurring seismic waves, microseisms, or ambient vibrations combined with reverse-time migration to achieve subsurface imaging. This replacement eliminates the harmful environmental factors associated with active sourcing while maintaining imaging capability

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent converts previously harmful or wasted ambient vibrations and noise into useful seismic signals. By treating ambient seismic energy that was once considered interference or environmental pollution as the primary data source, and applying reverse-time migration to extract meaningful subsurface information, the method transforms environmental 'harm' into a beneficial imaging tool

Inventive Principle:
Principle #22Blessing in disguise (Convert harm into benefit)

3Loss of information

If conventional seismic processing is used, then reservoir data can be obtained, but cost efficiency decreases

Engineering Contradiction:
Improvereservoir data qualityVSAvoidcost efficiency
Core Design Contradiction:
Loss of informationVSProductivity

Solution Approach 1:

The patent replaces expensive conventional seismic processing workflows with a streamlined reverse-time migration approach using passive data. By eliminating the need for costly active source deployment, extensive field operations, and lengthy conventional processing sequences, while retaining the ability to obtain high-quality reservoir data through physics-based back-propagation, the method significantly improves cost efficiency without sacrificing information quality

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach allows for more efficient and cost-effective detection of subsurface hydrocarbon reservoirs by using low-impact methods that reduce environmental impact and improve the accuracy of reservoir location, even in complex media, enabling faster evaluation and exploration of survey areas.

Implementation Method 1

acquiring synchronous passive seismic data from a plurality of sensors to obtain synchronized array measurements

Methodology Applied
Scientific EffectSeismic wave detection: Acoustic Emission

Implementation Method 2

A reverse-time data process is applied to the synchronized array measurements to obtain a plurality of dynamic particle parameters associated with subsurface locations

Methodology Applied
Scientific EffectTime reversal:

Data Source

PatentUS8068384B2Time reverse reservoir localization
Publication Date: 2011.11.29 SPECTRASEIS INC
  • US8068384B2 patent drawing
  • US8068384B2 patent drawing
  • US8068384B2 patent drawing

AI summary

A method and system for processing synchronous array seismic data includes acquiring synchronous passive seismic data from a plurality of sensors to obtain synchronized array measurements. A reverse-time data process is applied to the synchronized array measurements to obtain a plurality of dynamic particle parameters associated with subsurface locations. These dynamic particle parameters are stored in a form for display. Maximum values of the dynamic particle parameters may be interpreted as reservoir locations. The dynamic particle parameters may be particle displacement values, particle velocity values, particle acceleration values or particle pressure values. The sensors may be three-component sensors. Zero-phase frequency filtering of different ranges of interest may be applied. The data may be resampled to facilitate efficient data processing.