Automated Reservoir Data Quality Workflow
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Solution Overview
Problem
Reservoir simulation engineers face a time-consuming and tedious process in manually quality checking large amounts of data for reservoir models, including wells, logs, and completion events spanning up to 50 years, which requires rigorous data quality control to eliminate inconsistencies and ensure accurate modeling.
Innovation Solution
A simulation data quality workflow design and software package that automates the quality checking process, using tailored workflows to guide engineers through quality control steps, identifying and addressing inconsistencies, and recommending remedial actions, thereby reducing the time required for history matching from months to days.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual quality checking is performed on large amounts of reservoir data, then data accuracy is improved, but time consumption increases significantly
Solution Approach 1:
The patent replaces the manual mechanical quality checking process with an automated computer-based system that uses algorithms and software tools to validate reservoir data, grid models, and well completion information, thereby eliminating the time-consuming manual review while maintaining or improving data accuracy through systematic automated validation rules
Solution Approach 2:
The automated quality assurance system performs self-validation of the reservoir simulation data by automatically checking data consistency, validating grid configurations, verifying well completion details, and generating quality reports without requiring continuous human intervention, allowing the system to service itself in the data validation process
2Reliability
If comprehensive data validation is performed on all reservoir data, then model reliability is improved, but process complexity increases
Solution Approach 1:
The patent segments the comprehensive data validation process into distinct modular components, including separate validation routines for grid data, well completion data, seismic data, and production data, allowing each segment to be validated independently through specialized algorithms while maintaining overall model reliability through integrated quality assurance
Solution Approach 2:
The system employs parameter-based validation rules and thresholds that can be configured and adjusted to match specific project requirements, allowing the complexity of the validation process to be adapted by changing parameters rather than redesigning the entire validation framework, thus maintaining reliability while managing process complexity
3Productivity
If automated workflows are implemented for data quality checking, then productivity is improved, but initial setup complexity increases
Solution Approach 1:
The patent implements preliminary action by pre-configuring validation templates, quality standards, and automated workflows during the initial project setup phase, so that once established, the system can automatically execute comprehensive data quality checking without requiring complex ongoing configuration, thereby improving productivity while managing setup complexity through advance preparation
Data Source
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AI summary
Machine, computer readable medium, program code, and computer-implemented methods for performing a reservoir simulation with well completion and reservoir grid data quality assurance, are provided. An exemplary embodiment can include a data quality analyzing machine having memory containing data quality analyzing instructions configured to simulate a reservoir model with automated well completion and reservoir grid data quality assurance.