Reservoir Simulation Data Validation via Trajectory and Perforation Checks

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Manual data quality assurance for subsurface reservoir simulation models is time-intensive and relies on expert knowledge, leading to inconsistencies in well trajectory and perforation event data, which can result in inaccurate hydrocarbon production predictions.

Innovation Solution

A system and method utilizing processors to validate well trajectory and perforation event data by comparing deviation survey data to defined tolerances and analyzing positional data using conditional logic, ensuring consistency and accuracy before generating simulation models.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual data quality assurance operations are used, then data validation can be performed with expert knowledge, but the process is time-intensive and reduces productivity

Engineering Contradiction:
Improvedata validation qualityVSAvoiddata processing speed
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The patent replaces manual mechanical data validation operations with an automated computer system that uses processors to execute validation algorithms. The system automatically compares deviation survey data against defined tolerances and checks perforation event positions using conditional logic, eliminating the need for manual expert review while maintaining validation quality.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The validation system performs self-service by automatically executing consistency checks without requiring continuous human intervention. The computer system independently validates well trajectory data and perforation event attributes, generating quality assurance reports automatically and reducing dependency on manual expert operations.

Inventive Principle:
Principle #25Self-service

2Reliability

If manual data quality assurance is performed, then expert expertise can be applied to complex data, but inconsistencies in well trajectory and perforation event data may remain

Engineering Contradiction:
Improvedata consistencyVSAvoidtime for data validation
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary validation actions by automatically checking data consistency before simulation modeling begins. The well trajectory evaluator and perforation event analyzer execute consistency checks in advance, identifying and flagging potential issues before they affect subsequent simulation processes, thereby preventing time-consuming revisions later.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The validation system implements feedback mechanisms by continuously comparing deviation survey data against defined tolerances and generating quality assurance reports that provide immediate feedback on data consistency. The system identifies inconsistencies in well trajectory and perforation event data and provides detailed reports enabling rapid correction before simulation modeling.

Inventive Principle:
Principle #23Feedback

3Productivity

If automated validation systems are implemented, then data processing speed increases, but system complexity increases

Engineering Contradiction:
Improvedata processing speedVSAvoidvalidation system structure
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The validation system is segmented into distinct functional modules: a well trajectory evaluator that validates trajectory data consistency, a perforation event analyzer that checks perforation positions, and a quality assurance reporter that generates validation reports. This modular segmentation reduces overall system complexity by making each component independent and easier to develop, maintain, and debug.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS20240184946A1Reservoir simulation data quality assurance
Publication Date: 2024.06.06 SAUDI ARABIAN OIL CO
  • US20240184946A1 patent drawing
  • US20240184946A1 patent drawing
  • US20240184946A1 patent drawing

AI summary

One or more embodiments described herein can relate to systems and methods for automatically performing one or more well trajectory data consistency checks and/or well perforation event consistency checks. For example, one or more embodiments can include a system that can comprise memory to store computer executable instructions. The system can also comprise one or more processors, operatively coupled to the memory, that execute the computer executable instructions to implement a well trajectory evaluator configured to validate well trajectory data for a subsurface reservoir simulation model by comparing a difference between sets of deviation survey data to a defined trajectory tolerance. The one or more processors can also execute the computer executable instructions to implement a perforation event analyzer configured to validate well attribute data for the subsurface reservoir simulation model via conditional logic that analyzes the position of a perforation event along a well trajectory in relation to a targeted geographical zone.