Energy Deposit Discovery System for Large-Area Well Productivity Prediction
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Solution Overview
Problem
Existing systems for determining the most productive drilling opportunities for oil and gas deposits are inadequate, particularly when modeling large areas, as they lack comprehensive data integration, fail to account for existing production, and do not effectively leverage statistical methods, resulting in lower predictive power.
Innovation Solution
A computer-based system and method that uses geologic well data, seismic information, and statistical modeling to estimate production potential by interpolating geologic parameters and generating a linear model to predict well productivity across large areas, enabling the identification of high-potential drilling locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If detailed geologic models are built using measurements from existing wells and seismic data, then predictive power for well location is improved, but the system becomes inadequate for modeling large areas where seismic data is unavailable or prohibitively expensive
Solution Approach 1:
The patent extracts and separates the production data component from traditional geologic models, creating an independent production data model that can function without seismic data. This allows the system to operate in large areas where seismic data is unavailable while maintaining predictive capabilities through statistical analysis of production measurements.
Solution Approach 2:
The patent creates a unified modeling system that can operate in multiple modes: with or without seismic data, with or without production data. This multi-functional approach allows the same system to be applied universally across small and large areas, making the tool adaptable to diverse data availability scenarios.
2Device complexity
If traditional geologic models are used without integrating production data, then modeling process is simpler, but predictive power is reduced due to failure to leverage statistical methods from large data sets
Solution Approach 1:
The patent merges production data with geologic parameters in a unified statistical framework. By combining these previously separate data sources, the system leverages the strengths of both: the geological understanding from traditional models and the statistical power from production data, achieving enhanced predictive power without excessive complexity.
Solution Approach 2:
The patent implements feedback loops where production data from existing wells continuously informs and refines the predictive model. This feedback mechanism allows the system to learn from actual production outcomes and improve predictions for new well locations, progressively enhancing predictive power.
3Measurement precision
If existing strategies model only small areas with available seismic data, then model accuracy is maintained, but the system fails to provide complete solutions for large-area exploration
Solution Approach 1:
The patent segments the large-area modeling problem into manageable units by creating a grid-based system where production data from local areas informs predictions in adjacent areas. This segmentation allows accurate local modeling to be scaled up to large areas through systematic propagation of predictions across the study region.
Solution Approach 2:
The patent transitions from two-dimensional spatial modeling to three-dimensional modeling by incorporating production time-series data as a new dimension. This additional temporal dimension provides extra information that enhances predictive accuracy while enabling large-area coverage, as production history from multiple wells over time compensates for lack of spatial seismic data.
Data Source
AI summary
An energy deposit determining system and method are provided that determines a productive lease or well. The system and method may be used for oil wells, gas wells, oil and gas explorations and/or mineral leases.