Adaptive Multi-Scale Geological Modeling for Well Integration
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional seismic data integration methods face challenges in accurately mapping subsurface structures due to multi-scale characteristics of structural orientation information, leading to errors and distortions in reservoir volume estimates and hydrocarbon resource identification.
Innovation Solution
An adaptive algorithm is developed to automatically identify relevant length scales and align seismic depth maps with well information, using a combination of existing analytical tools and spatial filtering techniques, to create accurate integrated maps that account for multi-scale structures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional seismic data integration methods are used to map subsurface structures, then the mapping process can be completed, but errors and distortions occur in reservoir volume estimates and hydrocarbon resource identification due to multi-scale characteristics of structural orientation information
Solution Approach 1:
The patent segments the structural orientation information into multiple length scales, analyzing and integrating each scale separately. This segmentation allows the system to handle the multi-scale characteristics of subsurface structures by processing different spatial frequencies independently, thereby reducing errors in reservoir volume estimates while maintaining comprehensive structural information.
Solution Approach 2:
The patent introduces a length scale dimension to the traditional seismic data integration process. By transforming the problem from a single-scale analysis to a multi-scale analysis across different length scales, the system can accurately represent structural orientation information at various levels of detail, improving the precision of subsurface structural maps without losing critical information.
2Measurement precision
If multi-scale structural information is integrated into seismic maps, then the accuracy of subsurface structural maps is enhanced, but the complexity of data processing and integration increases
Solution Approach 1:
The patent employs dynamic adaptive processing where the integration methodology adjusts automatically based on the characteristics of the seismic data and well information. The system dynamically selects appropriate length scales and integration parameters, reducing the need for manual configuration and simplifying the overall processing complexity while maintaining high accuracy in subsurface structural maps.
Solution Approach 2:
The integration system performs self-configuration by automatically identifying relevant length scales and optimizing integration parameters based on the input data characteristics. This self-service capability reduces the burden on users to manually configure complex processing parameters, thereby enhancing accuracy without proportionally increasing operational complexity.
3Productivity
If automated algorithms are used to identify length scales and align seismic depth maps with well information, then the efficiency of hydrocarbon exploration is improved, but the requirement for advanced computational tools and processing increases
Solution Approach 1:
The patent develops a universal integration framework that can handle multiple types of seismic data and well information through a single automated algorithmic approach. This multi-functional system consolidates various processing tasks into one unified tool, improving hydrocarbon exploration efficiency while reducing the need for multiple specialized computational tools, thereby managing complexity through consolidation rather than proliferation of tools.
Data Source
AI summary
Methods and systems, including computer programs encoded on a computer storage medium can be used for adaptive multi-scale geological modeling and well integration. The systems and methods are used to integrate seismic mapping data and well data for a subsurface region that includes a reservoir. The specification describes an example algorithm that is used to adaptively identify and isolate natural length scales in a seismic map. The identified natural length scales are then used to determine appropriate filtering of well information and ultimately achieve an automatic integration of orientation information from seismic map and well information.