Normalized Differential Data for Formation Volumetric Evaluation
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Solution Overview
Problem
Current formation evaluation methods face challenges in accurately identifying and assigning unique signatures to different constituents in geological formations, especially when dealing with fluid substitution and limited availability of samples, which complicates the determination of volumetric fractions.
Innovation Solution
A method involving the collection of dataset snapshots before and after fluid injection, generating a differential dataset, normalizing it, and determining displaced fluid signatures to calculate volumetric composition, allowing for the identification of fluid substitution patterns and composition analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional formation evaluation methods are used to identify and assign unique signatures to different constituents, then the process becomes complicated and inaccurate, but the patent introduces a normalized differential dataset approach to resolve this
Solution Approach 1:
The patent extracts only the differential changes in formation properties between two states (before and after fluid injection) rather than analyzing the complete formation dataset. By taking out and analyzing only the differential portion, the method simplifies the identification of fluid signatures while improving accuracy in distinguishing between different fluid constituents.
Solution Approach 2:
The patent transforms the formation evaluation parameters by normalizing the differential dataset. This parameter transformation converts raw differential measurements into normalized values that directly represent volumetric fractions, simplifying the interpretation process and improving measurement precision without requiring complex computational procedures.
2Measurement precision
If fluid samples are limited or unavailable for direct analysis, then accurate determination of volumetric fractions becomes difficult, but the patent uses displacement patterns to overcome this limitation
Solution Approach 1:
The patent uses an intermediary approach by introducing a third fluid with known properties into the formation and observing its displacement patterns. This intermediary fluid acts as a tracer that enables indirect determination of the volumetric fractions of other fluids without requiring direct sampling or analysis of those fluids themselves.
Solution Approach 2:
The patent creates a simplified model system using the differential dataset that copies the essential displacement behavior of the formation fluids. By analyzing the normalized differential responses rather than direct fluid samples, the method reproduces the volumetric fraction information without needing physical fluid samples.
3Loss of information
If multiple fluid constituents are present in the formation, then assigning unique signatures to each constituent becomes challenging, but the patent uses normalized differential data to distinguish them
Solution Approach 1:
The patent segments the complex multi-fluid system into distinguishable components by analyzing the differential response to fluid injection. The normalized differential dataset separates the contributions of different fluid constituents based on their unique displacement patterns, enabling individual signature assignment even when multiple fluids are present in the formation.
Data Source
AI summary
A method for determining volumetric data for fluid within a geological formation is provided. The method includes collecting first and second dataset snapshots of the geological formation based upon measurements from the borehole at respective different first and second times and generating a differential dataset based upon the first and second dataset snapshots. Multiple points are determined within the differential dataset, including a first point representing a first displaced fluid, a second point representing a second displaced fluid, and an injected fluid point that corresponds to properties of the injected fluid. A further third point is determined based on at least one other property of the displaced fluid, and a volumetric composition of the displaced fluids is determined based upon the differential dataset, the first point, and second point, and third point.