Multi-Well Rig Data Integration for Faster Operations Planning
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Solution Overview
Problem
Existing rig operations lack efficient systems for data integration and analysis across multiple wells, leading to suboptimal planning and execution in resource field exploration and production phases.
Innovation Solution
A data interface system that integrates data from multiple wells, coupled with an inference engine for analysis and a communication engine for output, enabling comprehensive data-driven decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data from multiple wells is integrated and analyzed using an inference engine, then the quality and accuracy of decision-making information is improved, but the system complexity and computational requirements increase
Solution Approach 1:
The system segments the complex data analysis task into distinct functional modules: a data interface for receiving well data, an inference engine for analyzing the data, and a communication engine for outputting results. This segmentation allows each component to be optimized independently while maintaining overall system accuracy without excessive complexity.
2Reliability
If comprehensive data from multiple wells is collected and analyzed, then the effectiveness of rig operations planning is improved, but the time required for data processing increases
Solution Approach 1:
The inference engine is pre-configured with algorithms and models for analyzing well data. By preparing the analysis framework in advance, the system can quickly process comprehensive data from multiple wells when needed, reducing the actual processing time while maintaining reliable and effective operations planning.
3Productivity
If an inference engine is implemented to analyze well data, then the productivity of rig operations is improved, but the computational resources and energy consumption increase
Solution Approach 1:
The system implements selective data analysis where the inference engine processes only the most critical and relevant portions of well data first, providing sufficient insights for immediate decision-making. This partial action approach improves rig operations productivity without requiring exhaustive analysis of all available data, thereby reducing computational energy consumption.
Data Source
AI summary
A system includes a data interface that receives data associated with a plurality of wells; an inference engine that receives and analyzes at least a portion of the data to generate results; and a communication engine that outputs information based at least in part on the results.