Downhole Log Correlation Using Similarity Index Ratios
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Solution Overview
Problem
Current downhole operations lack efficient field-wide data collection and analysis methods, particularly in heavily compartmentalized fields, which hinders the identification of fluid boundaries and communication between reservoirs, leading to suboptimal drilling and production decisions.
Innovation Solution
The implementation of a system that collects and compares downhole data across multiple wells using a similarity index ratio (SIR) to correlate and compare mud gas analysis data, enabling field-wide assessment and improving reservoir fluid composition understanding by integrating advanced gas analysis and classical formation evaluation tools.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If field-wide data collection and analysis methods are implemented, then reservoir characterization accuracy is improved, but device complexity and data processing requirements increase
Solution Approach 1:
The system segments data collection by implementing well-specific data collection modules that can be independently deployed and configured for each well. Each module collects data locally and transmits to a central system, allowing scalable implementation without requiring complete system redesign for additional wells.
Solution Approach 2:
The system employs a universal data collection platform that handles multiple data types (mud gas analysis, formation evaluation, drilling parameters) through a common architecture. The similarity index ratio calculation methodology serves as a universal tool for comparing different well data sets and identifying formation characteristics across the entire field.
2Loss of information
If advanced gas analysis and classical formation evaluation tools are integrated, then fluid boundary identification is improved, but analysis time and computational requirements increase
Solution Approach 1:
The system performs preliminary data processing and similarity index ratio calculations on incoming data streams in real-time, preparing processed data for subsequent detailed analysis. This preliminary action reduces the computational burden on later analysis stages and enables faster decision-making.
Solution Approach 2:
The system implements iterative analysis where similarity index ratio results feed back into the data collection and processing pipeline. The feedback mechanism allows the system to adjust data collection priorities and processing parameters based on emerging patterns, optimizing the balance between analysis depth and time consumption.
Data Source
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AI summary
Systems and methods for performing field-wide downhole operations, the field having a plurality of wells. Methods include obtaining, at a computing system, a reference data set associated with the field, the reference data set including at least one property of a downhole formation, obtaining, at the computing system, a first well data set associated with a first well of the field, the first well data set including the at least one property of a downhole formation associated with the first well, calculating a similarity index ratio based on the reference data set and the first well data set, wherein the similarity index ratio indicates a similarity in values of the reference data set and the first well data set, and performing a responsive action based on the calculated similarity index ratio.