Rock Testability Index for Formation Testing Precision
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Solution Overview
Problem
Traditional methods for determining the optimal depth for formation tests in geological formations are often inadequate, leading to resource wastage and sub-optimal results due to manual interpretation and lack of precision in identifying suitable locations for hydrocarbon fluid formation testing.
Innovation Solution
A computer system is used to calculate a rock testability index (RTI) by normalizing petrophysical data from multiple depths, adjusting it based on hydrocarbon productivity, and generating a visual representation to indicate the probability of success for formation tests, thereby optimizing the selection of testing depths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional manual interpretation methods are used to identify formation test locations, then expert judgment can be applied, but resource wastage occurs due to inadequate precision in identifying suitable locations
Solution Approach 1:
The patent replaces manual expert interpretation with an automated computer-based system that processes petrophysical data to generate a Rock Testability Index. This substitution of mechanical/manual analysis with computational analysis provides precise, objective identification of suitable formation test locations without the resource wastage associated with manual methods
Solution Approach 2:
The patent transforms multiple petrophysical parameters (porosity, permeability, rock type, fluid mobility) into a single composite Rock Testability Index parameter. This parameter transformation enables precise identification of optimal test depths by combining multiple factors into one actionable metric that directly indicates suitability for formation testing
2Quantity of substance
If formation tests are performed at multiple depths to ensure coverage, then comprehensive data collection is achieved, but operational costs increase due to testing at unsuitable locations
Solution Approach 1:
The patent performs preliminary analysis of petrophysical data before conducting formation tests to identify depths with high Rock Testability Index values. This preliminary screening action ensures that tests are performed only at locations most likely to yield productive results, reducing unnecessary testing costs while maintaining comprehensive data collection at optimal locations
Solution Approach 2:
The system uses available petrophysical logging data to self-identify optimal test locations without requiring extensive additional exploration or trial testing. The Rock Testability Index automatically indicates which depths are most promising, allowing the system to serve itself in selecting test locations and reducing overall operational costs
3Loss of information
If expert interpretation is used to select test depths, then human expertise can be applied, but time is lost due to manual analysis processes
Solution Approach 1:
The patent replaces time-consuming manual expert interpretation with automated computer processing of petrophysical data. The system rapidly calculates the Rock Testability Index for multiple depths simultaneously, providing high-quality interpretation results instantaneously without the time delays inherent in manual analysis
Solution Approach 2:
The patent enables continuous processing and analysis of petrophysical data as it becomes available, generating Rock Testability Index values for all depths in the formation without interruption. This continuous automated analysis eliminates the intermittent, step-by-step nature of manual interpretation and provides complete depth evaluation in one operation
Data Source
AI summary
Methods for determining a rock testability index (RTI) include receiving petrophysical data of a geological formation at a particular rate. The petrophysical data is measured at each depth of a plurality of depths from a surface of the Earth. For each depth of the plurality of depths, an RTI is determined for the geological formation. The RTI indicates a probability of success for performing a hydrocarbon fluid formation test at each depth. The RTI is generated by normalizing a rock type of the geological formation. The RTI is adjusted based on a correspondence of the petrophysical data to hydrocarbon productivity. A display device generates a visual representation of the RTI at the particular rate. The visual representation indicates a potential hydrocarbon productivity of the geological formation.


