Multimodal Stratigraphic Play Targeting via Integrated Seismic Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for targeting stratigraphic plays in hydrocarbon exploration are inefficient, slow, or expensive due to complexities in seismic geomorphology and amplitude-variation-with-offset inversion, and often result in false traps caused by poor seismic data quality.
Innovation Solution
A computer-implemented system processes stratigraphic data from multiple sources to generate conditioned data, extracts seismic attributes, determines seismic surfaces and structural elements, correlates sedimentary layers with seismic reflection data, and builds 2D and 3D models to assess hydrocarbon potential, using techniques like seismic sequence stratigraphy, rock physics, and machine learning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional approaches to locate and evaluate structural traps are used, then the process can be completed with conventional methods, but the efficiency is low and the process is slow
Solution Approach 1:
The patent combines multiple geoscience domains (seismic sequence stratigraphy, rock physics, seismic inversion, machine learning) into an integrated framework that processes and correlates data from multiple sources simultaneously, improving efficiency by eliminating sequential processing steps
Solution Approach 2:
The system performs multiple functions within a unified platform: processing stratigraphic data, extracting seismic attributes, determining structural elements, correlating sedimentary layers with seismic reflections, and generating 2D/3D models, thereby reducing the need for separate specialized tools
2Productivity
If traditional approaches are used, then the process can be completed with conventional methods, but the cost is high
Solution Approach 1:
By merging multiple data sources and processing methods into a single integrated framework, the system reduces redundant expenditures and optimizes resource allocation across different geoscience domains
Solution Approach 2:
The system creates virtual 2D and 3D models of subsurface structures from processed data, allowing multiple evaluation scenarios to be simulated without requiring additional physical drilling or field work
3Productivity
If poor seismic data quality is present, then data processing can be performed, but false traps and features are generated
Solution Approach 1:
The system incorporates quality control mechanisms that provide feedback on data reliability at multiple stages, allowing identification and correction of artifacts while maintaining processing continuity
Solution Approach 2:
The integrated framework acts as an intermediary that filters and validates data from multiple sources before final interpretation, using cross-validation between different data types to eliminate false features
4Measurement precision
If complexities in seismic geomorphology and AVO inversion are addressed, then more accurate results can be achieved, but the process becomes more difficult
Solution Approach 1:
The patent segments the complex processing workflow into distinct modules: stratigraphic data processing, seismic attribute extraction, structural element determination, and model generation, making each component more manageable and easier to implement
Data Source
AI summary
Computer-implemented stratigraphic play quality generation is disclosed. Stratigraphic data can be processed from each of a plurality of respective data sources to generate conditioned stratigraphic data. From at least some of the conditioned stratigraphic data, attributes of at least one seismic sequence can be extracted, and at least one seismic surface and at least one structural element associated with at least some of the conditioned stratigraphic data can be determined. At least some of the conditioned stratigraphic data representing sedimentary layers can be correlated with seismic reflection data to ascertain a subsurface of the geologic area at a respective depth. Reservoir properties associated with the geologic area are linked to elastic properties, and a 2D model built. Moreover, 3D map can be generated that is usable for a prospective drilling plan.