Well Placement Evaluation Using Seismic Attribute Weighting
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Solution Overview
Problem
Current hydrocarbon exploration methods face challenges in accurately identifying optimal well placement locations due to geological heterogeneity and seismic data quality issues, leading to increased risks and expenses in drilling wells.
Innovation Solution
Integration of multiple seismic attributes and data quality indicators to rank potential well placement locations, using a system that assigns weights to each attribute and indicator, and generates a color-coded map for risk assessment, allowing for flexible adjustment of inputs and cutoff parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional single-attribute seismic analysis is used, then the analysis process is simple, but the accuracy of well placement identification is insufficient
Solution Approach 1:
The patent combines multiple independent seismic attributes (amplitude, frequency, continuity, coherence) and data quality indicators into a unified integrated analysis system. This merging of multiple attributes allows comprehensive evaluation of reservoir properties at each location, significantly improving well placement identification accuracy while managing complexity through systematic integration
2Reliability
If multiple seismic attributes and quality indicators are integrated, then the evaluation comprehensiveness improves, but the computational complexity increases
Solution Approach 1:
The patent segments the complex evaluation process into distinct components: individual seismic attribute extraction, separate data quality indicator assessment, and systematic integration through weighted scoring. This segmentation allows each component to be processed independently and then combined, improving evaluation reliability while making the computational complexity manageable through modular processing
Solution Approach 2:
The patent transforms multiple qualitative seismic attributes and quality indicators into quantitative parameters with assigned weights and cutoff values. By changing parameters from qualitative descriptions to quantifiable metrics, the system achieves comprehensive evaluation reliability while enabling computational processing through standardized parameter transformation
3Reliability
If comprehensive seismic analysis is performed, then the risk identification capability improves, but the time and resources required increase
Solution Approach 1:
The patent performs preliminary processing of seismic data to extract attributes and quality indicators before the main integration step. Cutoff values and weightings are predetermined based on geological knowledge and previous studies. This preliminary action prepares data in advance, improving risk assessment accuracy while reducing the time required during the actual well placement decision-making process
Data Source
AI summary
Systems and methods of placing wells in a hydrocarbon field based on seismic attributes and quality indicators associated with a subterranean formation of the hydrocarbon field can include receiving seismic attributes representing the subterranean formation and seismic data quality indicators. A cutoff is generated for each seismic attribute and seismic data quality indicator. A weight is assigned to each seismic attribute and seismic data quality indicator. The weighted seismic attributes and data quality indicators are aggregated for each location in the hydrocarbon field. A risk ranking is assigned based on the weighted seismic attributes and data quality indicators associated with each location in the hydrocarbon field based on the cutoffs. A map is generated with each location on the surface of the subterranean formation color-coded based on its assigned risk ranking.