Tool Response Models for Wellbore Fluid Distribution Evaluation
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Solution Overview
Problem
Current downhole exploration and production techniques face challenges in accurately evaluating hydrocarbon reserves and drainage efficiency between wellbores, as conventional methods are prone to measurement uncertainties and environmental artifacts, which affect the accuracy of fluid distribution data used for drilling and completion decisions.
Innovation Solution
The method involves generating tool response models (TRMs) based on fluid distributions measured around wellbores using processing resources, comparing these models to determine fluid distribution differences, and implementing drilling or completion actions accordingly, thereby correcting for environmental artifacts and improving the accuracy of hydrocarbon reserve evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional measurement methods are used to evaluate fluid distribution, then the evaluation process is simple, but measurement precision and reliability are reduced due to environmental artifacts and uncertainties
Solution Approach 1:
The patent introduces tool response models as an intermediary between raw sensor measurements and final fluid distribution evaluation. These models act as a mediating layer that processes measurements from multiple wellbores, applies environmental corrections, and integrates data to produce accurate fluid distribution maps, thereby resolving the contradiction between measurement accuracy and system complexity
Solution Approach 2:
The system implements feedback loops where tool response models continuously refine fluid distribution estimates by comparing predicted responses with actual measurements. This iterative feedback process corrects for environmental artifacts and improves measurement precision while managing complexity through systematic data processing
2Reliability
If tool response models are generated and compared for multiple wellbores, then hydrocarbon reserve evaluation accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The patent applies preliminary environmental corrections and calibration to tool response models before comparing them across wellbores. By pre-processing data to account for environmental artifacts in advance, the system reduces the computational burden during the comparison phase, thereby improving evaluation reliability while minimizing additional processing time
Solution Approach 2:
The evaluation process is segmented into distinct stages: individual wellbore model generation, environmental correction, and comparative analysis. This segmentation allows each stage to be optimized independently, improving overall reliability through systematic processing while managing computational time through efficient stage-wise execution
Data Source
AI summary
Techniques for evaluating hydrocarbon reserves using tool response models are provided. An example method includes measuring a first fluid distribution of a first formation proximate to a first wellbore and measuring a second fluid distribution of a second formation proximate to a second wellbore. The method further includes generating a first tool response model for the first formation based at least in part on the first fluid distribution and generating a second tool response model for the second formation based at least in part on the second fluid distribution. The method further includes comparing results of the first tool response model to results of the second tool response model to determine a fluid distribution difference between the first formation and the second formation and implementing a drilling command to alter drilling of one of the first and second wellbores based at least in part on the fluid distribution difference.