Seismic Imaging Artifact Classification for Adaptive Footprint Reduction

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Solution Overview

Problem

Existing seismic data processing techniques struggle with acquisition footprint artifacts, leading to inaccurate subsurface formation analysis and reduced data quality, particularly in complex geological environments with uneven surfaces and near-surface heterogeneity.

Innovation Solution

A method and system for automatically identifying and reducing acquisition footprint artifacts in seismic data by extracting reduction parameters based on the type of artifact, using advanced processing frameworks like PETREL and DELFI, which include features for seismic data interpretation and inversion, and employing techniques such as static time shifts and deghosting to enhance data quality.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional seismic data processing techniques are used, then processing speed and simplicity are maintained, but acquisition footprint artifacts remain causing inaccurate subsurface formation analysis

Engineering Contradiction:

Improvesubsurface formation analysis accuracyVSAvoidprocessing technique complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The processing system segments different types of acquisition footprint artifacts (e.g., linear artifacts from streamer cables, point artifacts from source locations) and applies type-specific reduction parameters to each, enabling precise artifact removal without requiring complete redesign of the processing framework

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system automatically extracts and adjusts processing parameters (such as static time shifts, deghosting parameters, and filter settings) based on the identified artifact type, allowing adaptive optimization of processing accuracy without manual intervention

Inventive Principle:

Principle #35Parameter changes

2Productivity

If manual artifact identification and parameter adjustment is performed, then processing accuracy can be optimized, but processing time and operational complexity increase significantly

Engineering Contradiction:

Improveprocessing speedVSAvoiddata quality

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The processing system automatically identifies artifact types and extracts appropriate reduction parameters without requiring manual operator intervention, enabling the system to self-optimize processing quality while maintaining high throughput speeds

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system implements automated feedback loops where processing results are continuously evaluated and used to refine artifact reduction parameters, ensuring progressive improvement in data quality without additional manual oversight

Inventive Principle:

Principle #23Feedback

3Object-affected harmful factors

If advanced processing frameworks with multiple features are implemented, then artifact reduction capability is improved, but computational resources and processing complexity increase

Engineering Contradiction:

Improveartifact reduction effectivenessVSAvoidcomputational resource consumption

Core Design Contradiction:

Object-affected harmful factorsVSUse of energy by moving object

Solution Approach 1:

The system applies only the necessary subset of processing features required for the specific artifact type present in the data, avoiding unnecessary computational overhead from applying all available processing capabilities uniformly to all datasets

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS20250277919A1Seismic imaging framework

Publication Date: 2025.09.04 SCHLUMBERGER TECH CORP

AI summary

A method can include accessing data that include seismic data of a subsurface region; automatically identifying a type of acquisition footprint artefact to reduce based at least in part on at least a portion of the data; automatically extracting acquisition footprint artefact reduction parameters based at least in part on the type of acquisition footprint artefact; and reducing the acquisition footprint artefact using the acquisition footprint artefact reduction parameters.