Subterranean Sample Identification via Fluid Chemistry Comparison
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Solution Overview
Problem
Unidentified subterranean samples pose challenges in subterranean field operations as they lack information on origin, depth, and other critical parameters, hindering decision-making and optimization of production processes.
Innovation Solution
A method and system that compare fluid chemistry parameters of unidentified samples with those of identified samples to estimate target parameters, allowing recategorization and improved identification, including depth determination for more accurate remediation and production optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If unidentified subterranean samples are used in field operations, then productivity is improved by utilizing available data, but loss of information occurs due to lack of origin and depth identification
Solution Approach 1:
The system establishes a feedback loop where fluid chemistry parameters from unidentified samples are continuously compared against the database of identified samples. This iterative comparison process gradually refines the identification accuracy, allowing the system to learn from each comparison and improve future identifications, thereby converting unavailable information into actionable insights.
Solution Approach 2:
Fluid chemistry parameters serve as an intermediary medium that bridges unidentified samples and the database of identified samples. By comparing these chemical characteristics, the system indirectly identifies sample origins and depths without requiring direct metadata, thus recovering information that would otherwise be lost.
2Ease of operation
If unidentified samples are analyzed without origin information, then ease of operation is improved by simplifying sample handling, but measurement precision deteriorates due to inability to determine target parameters
Solution Approach 1:
The system creates a virtual copy of the identification process by comparing fluid chemistry parameter profiles. Instead of physically tracking sample origins, it replicates the identification information through chemical fingerprint matching, maintaining measurement precision while preserving operational simplicity.
3Measurement precision
If fluid chemistry parameter comparison is performed to identify samples, then measurement precision is improved by estimating target parameters, but device complexity increases due to need for database and analysis apparatus
Solution Approach 1:
The analysis apparatus is designed with multi-functionality, serving both as a data storage database and as a comparison engine. This universal design consolidates multiple functions into a single system, reducing overall device complexity while maintaining the capability to perform sophisticated fluid chemistry parameter comparisons and target parameter estimations.
4Device complexity
If unidentified samples remain uncategorized, then device complexity is reduced by avoiding classification systems, but loss of time occurs due to inability to make informed decisions
Solution Approach 1:
The system performs preliminary classification by comparing fluid chemistry parameters against the database before samples are needed for decision-making. This advance categorization ensures that when unidentified samples need to be used, their origin and depth information are already estimated, eliminating time losses without requiring complex real-time classification systems.
Data Source
AI summary
A method for identifying an unidentified subterranean sample may include comparing values for a subset of fluid chemistry parameters associated with the unidentified subterranean sample to values of corresponding fluid chemistry parameters associated with a plurality of identified subterranean samples. The method may also include determining, based on comparing the values for the subset of fluid chemistry parameters associated with the unidentified subterranean sample to the values of the corresponding fluid chemistry parameters associated with the plurality of identified subterranean samples, an estimated value for a target parameter associated with the unidentified subterranean sample. The method may further include recategorizing the unidentified subterranean sample as being among the plurality of identified subterranean samples based on the estimated value for the target parameter.