Wellbore Data Rule-Based Analysis for Subterranean Mapping
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Solution Overview
Problem
Current methods for analyzing wellbore data are inefficient in providing scalable and graphical representations of subterranean rock compositions across multiple geographic regions, hindering predictive analytics for hydrocarbon exploration.
Innovation Solution
A computer-based method and system utilizing a rule-based analytical process to automatically process downhole data, generating 2D graphical representations of wellbore data from various global regions, allowing users to assess petroleum system elements spatially and upscale well data into single point representations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual interpretation of downhole data by geoscientists is used, then detailed stratigraphic context can be obtained, but processing time and labor intensity increase significantly
Solution Approach 1:
The system enables self-service automated interpretation of downhole data through rule-based analytical processes. The computer system automatically processes wellbore data, applies geological rules and constraints, and generates stratigraphic interpretations without requiring manual geoscientist intervention for each data set, thereby reducing processing time while maintaining interpretation quality through systematic rule application.
Solution Approach 2:
The patent replaces the manual mechanical process of geoscientist data interpretation with an automated computer-based system. The mechanical manual analysis is substituted by electronic data processing, algorithmic rule application, and automated graphical representation generation, significantly reducing time loss while preserving interpretation accuracy through structured analytical rules.
2Loss of information
If detailed analysis of multiple wellbore data sets from different global regions is performed, then comprehensive subterranean understanding is achieved, but data processing complexity increases
Solution Approach 1:
The system implements a universal rule-based analytical framework that can process wellbore data from multiple global regions and different well types using the same core methodology. The computer system applies consistent geological rules, constraints, and analytical processes across diverse data sets, maintaining comprehensive analysis capability while reducing processing complexity through standardized multi-functional procedures.
Solution Approach 2:
The patent segments the complex task of analyzing multiple global wellbore data sets into manageable components: data acquisition from multiple sources, application of specific geological rules for each data type, constraint-based validation, and generation of standardized graphical representations. This segmentation reduces overall processing complexity while preserving comprehensive subterranean understanding.
3Productivity
If automated rule-based analytical processing is implemented, then processing efficiency and scalability improve, but requirement for structured data input increases
Solution Approach 1:
The system performs preliminary actions by establishing structured data acquisition protocols and pre-defined geological rules before actual data processing. Wellbore data is collected and organized according to predetermined formats and constraints, and analytical rules are pre-configured based on geological knowledge. This preliminary structuring improves subsequent processing efficiency while making data preparation more systematic and easier to manage.
Data Source
AI summary
A computer system and method for determining subterranean rock composition is described in which user input data is received having a plurality of parameters defining a desired subterranean rock composition from a wellbore. Data associated with at least one geologic environment is received, which data contains data acquired from at least one wellbore. An analytical analysis is then conducted by a computer processor utilizing the user input data and the received geologic environment data to determine a match between the user desired subterranean rock composition and the received geologic environment data. Output graphic data is then determined and generated, based at least in part on the analytical analysis, on a computer graphical display consisting of a two-dimensional (2D) graphical representation indicating a region of the geologic environment having a match between the user desired subterranean rock composition and the received geologic environment data.