Machine Learning Tool for Digital Wellbore Schematic Generation

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Solution Overview

Problem

The manual analysis of physical wellbore schematics is resource-intensive and time-consuming, leading to workflow congestion and potential economic losses, as it requires domain experts to interpret and update wellbore data for informed decision-making in well operations.

Innovation Solution

A machine-learning tool analyzes physical wellbore schematic images using image and text detection techniques to generate digital schematics, leveraging object detection and parsing to create structured data files that can be used for real-time decision-making and comparison across wellbores.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual analysis of physical wellbore schematics is performed by domain experts, then accurate interpretation and update of wellbore data is achieved, but the process becomes resource-intensive and time-consuming

Engineering Contradiction:

Improveaccuracy of wellbore data interpretationVSAvoidtime required for schematic analysis

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent replaces the manual mechanical analysis process performed by domain experts with an automated computer-based system using machine learning and image recognition algorithms. The system captures images of physical wellbore schematics, processes them through trained models to extract wellbore data, and generates digital representations, thereby eliminating the need for manual interpretation while maintaining accuracy.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent creates digital copies of physical wellbore schematics by capturing images and processing them through machine learning models. The system generates digital wellbore schematic representations that replicate the information from physical documents, enabling automated analysis and eliminating the need for manual copying and interpretation of physical documents.

Inventive Principle:

Principle #26Copying

2Reliability

If manual analysis of physical wellbore schematics is performed, then accurate wellbore data is obtained, but workflow congestion occurs due to resource intensity

Engineering Contradiction:

Improveaccuracy of wellbore dataVSAvoidworkflow efficiency

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The patent replaces manual mechanical analysis with automated computer-based processing using machine learning models. The system accurately extracts wellbore data from physical schematics through image recognition and pattern matching algorithms, maintaining data reliability while eliminating workflow congestion caused by manual resource intensity.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system performs self-service by automatically capturing, processing, and analyzing wellbore schematic images without requiring domain expert intervention. The machine learning models are trained to independently extract and interpret wellbore data, generating accurate digital representations autonomously and improving overall workflow efficiency.

Inventive Principle:

Principle #25Self-service

3Loss of information

If physical wellbore schematics are manually analyzed and updated, then informed decision-making is enabled, but economic losses occur due to resource wastage

Engineering Contradiction:

Improveavailability of wellbore data for decision-makingVSAvoideconomic resource consumption

Core Design Contradiction:

Loss of informationVSLoss of energy

Solution Approach 1:

The patent creates digital copies of physical wellbore schematics through image capture and machine learning processing. This digital replication enables easy storage, retrieval, and analysis of wellbore data without the need for physical document handling, reducing resource consumption while maintaining full information availability for decision-making.

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The patent replaces resource-intensive manual analysis with automated computer-based processing. The machine learning system efficiently extracts and processes wellbore data from physical schematics, reducing human resource consumption and economic costs while ensuring accurate and timely data availability for informed decision-making.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS11354921B2Generation of digital well schematics

Publication Date: 2022.06.07 LANDMARK GRAPHICS CORP

AI summary

Certain aspects and features of the present disclosure relate to analysis of physical media copies of wellbore schematics and the generation of corresponding digital wellbore schematics. Wellbore data may be analyzed by a wellbore schematic analysis tool to produce a structured data file containing information harvesting from a physical media copy of a wellbore schematic. This information may be compared to data from other wellbores and or may be used to generate a new digital wellbore schematic.