Reservoir Connectivity Model for Dynamic Fluid Analysis

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current methods for reservoir connectivity analysis are inadequate in accurately assessing dynamic connectivity and fluid distribution within subsurface regions, leading to inefficiencies in hydrocarbon production and management, as they fail to account for complex fluid interactions and pressure changes over time.

Innovation Solution

A method that integrates geologic and production data to build a reservoir connectivity model, analyzing compartments, connections, and fluid properties, using multiscenario interpretations and 4D seismic data to refine connectivity diagrams and predict fluid movement, thereby optimizing well placement and hydrocarbon extraction.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional reservoir connectivity analysis methods are used, then the analysis process is simple, but the accuracy of assessing dynamic connectivity and fluid distribution is insufficient

Engineering Contradiction:
Improveaccuracy of connectivity assessmentVSAvoidcomplexity of analysis method
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments reservoir connectivity analysis into two distinct time scales: geologic time scale connectivity (baseline model) and production time scale connectivity (dynamic model). This segmentation allows each model to address specific aspects of connectivity with appropriate complexity, improving overall assessment accuracy without requiring a single overly complex method to handle all scenarios.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces dynamic connectivity analysis that evolves from a static baseline model to a production-time-scale dynamic model. The system continuously updates connectivity assessments based on production data, pressure changes, and fluid distribution observations, transforming the analysis from a fixed state to an adaptive process that improves accuracy over time.

Inventive Principle:
Principle #15Dynamics

2Loss of information

If detailed multiscenario interpretations and 4D seismic data are used, then fluid distribution insights are improved, but data processing time and computational resources increase

Engineering Contradiction:
Improveloss of fluid distribution informationVSAvoiddata processing time
Core Design Contradiction:
Loss of informationVSLoss of time

Solution Approach 1:

The patent performs preliminary analysis by establishing a baseline reservoir connectivity model using geologic time scale data before production begins. This preliminary model provides a framework that reduces the complexity of subsequent dynamic analysis during production, as the baseline structure is already understood and can be updated incrementally rather than analyzed from scratch each time.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system implements feedback loops where production data, pressure measurements, and 4D seismic observations are continuously integrated to update the connectivity model. This feedback mechanism allows the system to refine fluid distribution insights progressively, processing information in manageable increments rather than requiring all data to be processed simultaneously, thus reducing computational burden while maintaining information completeness.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS8437997B2Dynamic connectivity analysis
Publication Date: 2013.05.07 EXXONMOBIL UPSTREAM RESEARCH COMPANY(US)
  • US8437997B2 patent drawing
  • US8437997B2 patent drawing
  • US8437997B2 patent drawing

AI summary

Methods, computer-readable mediums, and systems analyze hydrocarbon production data from a subsurface region to determine geologic time scale reservoir connectivity and production time scale reservoir connectivity for the subsurface region. Compartments, fluid properties, and fluid distribution are interpreted to determine geologic time scale reservoir connectivity and production time scale reservoir connectivity for the subsurface region. A reservoir connectivity model based on the geologic time scale and production time scale reservoir connectivity for the subsurface region is constructed, wherein the reservoir connectivity model includes a plurality of production scenarios each including reservoir compartments, connections, and connection properties for each scenario. Each of the production scenarios is tested and refined based on production data for the subsurface region.