Pressure Transient Model Regression for Wellbore Parameter Determination

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Solution Overview

Problem

Current methods for interpreting pressure test data from multiple stations in a wellbore struggle to accurately model and determine station-specific and station-shared parameters of subterranean formations, leading to inefficiencies in hydrocarbon reserve exploitation.

Innovation Solution

A processing system with a processor and memory, capable of performing regression analysis to develop a pressure transient model using station-specific and station-shared parameters, which are used to fit the model to pressure test data from multiple stations simultaneously, allowing for the determination of parameter values.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional methods are used to interpret pressure test data from multiple stations, then the analysis can be performed, but the accuracy of modeling station-specific and station-shared parameters is insufficient

Engineering Contradiction:

Improveaccuracy of parameter determinationVSAvoidefficiency of hydrocarbon reserve exploitation

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The patent segments the parameters into two distinct categories: station-specific parameters (unique to each depth station) and station-shared parameters (common across multiple stations). This segmentation allows the system to simultaneously model both unique and common characteristics, improving the accuracy of parameter determination while maintaining computational efficiency through structured analysis.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent merges the analysis of multiple stations by simultaneously fitting pressure transient models to data from all stations using a unified regression analysis approach. This combining method enables the system to determine both station-specific and station-shared parameters together, improving overall accuracy while avoiding the inefficiency of analyzing each station separately.

Inventive Principle:

Principle #5Merging (Combining)

2Loss of information

If pressure test data from multiple stations is analyzed to determine both station-specific and station-shared parameters, then comprehensive formation properties can be obtained, but the interpretation process becomes complex and time-consuming

Engineering Contradiction:

Improvecompleteness of formation property informationVSAvoidtime required for data interpretation

Core Design Contradiction:

Loss of informationVSLoss of time

Solution Approach 1:

The patent performs preliminary action by establishing the relationship between pressure transient data and formation properties before actually analyzing the data. The system pre-defines the mathematical models and regression frameworks that will be used, allowing for efficient and systematic analysis of multi-station data without time-consuming ad-hoc calculations during the actual interpretation phase.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent creates a universal regression analysis framework that can simultaneously handle multiple stations, determine both station-specific and station-shared parameters, and provide comprehensive formation property information. This multi-functional approach eliminates the need for separate analysis procedures for each station or parameter type, significantly reducing interpretation time while maintaining information completeness.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS11230924B2Interpretation of pressure test data

Publication Date: 2022.01.25 SCHLUMBERGER TECH CORP

AI summary

Apparatus and methods for obtaining initial settings of station-specific parameters descriptive of wellbore/formation properties specific to downhole pressure test stations, and obtaining initial settings of station-shared parameters descriptive of petrophysical properties of petrophysically unique formation zones. A pressure transient model of the zones is obtained by regression utilizing the pressure data of each station and the initial settings of the station-specific and station-shared parameters. The regression analytically determines a model value of at least one of the station-specific parameters and the station-shared parameters.