Operator Land Area Determination via Data Fusion
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Solution Overview
Problem
Current systems lack the ability to accurately determine the operator and non-operator positions of hydrocarbon production entities within geographic areas, leading to unclear land ownership and operational responsibilities, which can impact financial decisions and strategic planning.
Innovation Solution
A method utilizing hardware processors to identify entity names, determine land areas, and aggregate operator, non-operator, and unknown positions using both public and private data sets, generating graphical representations to present on a GUI, thereby providing a clear and accurate view of land ownership and operational roles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If public data sets alone are used to determine entity positions, then data accessibility is improved, but measurement precision of operator positions deteriorates
Solution Approach 1:
The patent combines multiple data sources including public data sets and private data sets into a unified system. The processor aggregates information from various sources (merger and acquisition data, well permit data, well completion data, well production data, well hydraulic fracturing data, well trajectory data, and financial data) to determine entity positions, thereby maintaining data accessibility while improving measurement precision through data fusion.
2Measurement precision
If comprehensive data aggregation is performed to determine accurate operator positions, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent introduces a processor as an intermediary component that automatically performs data aggregation and analysis. The processor receives data from multiple sources, determines entity positions based on aggregated information, and generates results without requiring complex manual intervention. This intermediary approach simplifies the system architecture while maintaining high measurement precision.
Solution Approach 2:
The processor serves multiple functions within the system: it aggregates data from various sources, determines operator and non-operator positions, identifies lease information, and generates comprehensive results. This multi-functional design reduces the need for separate specialized components, thereby managing device complexity while achieving accurate measurements.
3Loss of information
If detailed land area determination is performed for all entities, then information completeness is improved, but loss of time increases
Solution Approach 1:
The system performs preliminary data aggregation and entity identification by determining lease information and entity positions in advance. The processor pre-processes data from multiple sources to establish baseline information about entities and their positions, which can then be quickly referenced and updated without requiring complete re-analysis, thereby reducing processing time while maintaining information completeness.
Solution Approach 2:
The patent segments the determination process into distinct components: identifying entity names, determining lease information, analyzing data sets, and determining positions. This segmentation allows parallel processing of different data types and entities, improving processing efficiency while maintaining comprehensive information coverage.
Data Source
AI summary
Techniques for determining an operator position for a hydrocarbon production area include identifying an entity name; determining a plurality of land areas associated with the entity name based on at least one public data set, at least one of the land areas including a hydrocarbon-bearing land area; determining a position associated with the entity name for each of the plurality of land areas based on the at least one public data set and at least one private data set, the position including an operator position or a non-operator position; determining at least a portion of the plurality of land areas in which the determined position associated with the entity name includes the operator position; aggregating the determined portion of the plurality of land areas to generate an operator land area for the entity name; and generating a graphical representation of the generated operator land area to present to a user.