Drilling Optimization System for Parameter Consistency

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Solution Overview

Problem

Inconsistent drilling parameters across different rigs in oil or gas fields lead to inefficiencies and increased non-productive time due to varying skill sets and equipment types, resulting in issues like pipe twist-offs and fatigue failures, which are costly and time-consuming to address.

Innovation Solution

A method and system that optimize drilling roadmaps by identifying optimal bottom hole assembly (BHA) setups and drilling parameters using historical simulation data and sensor-collected data, integrating machine learning algorithms to automate decision-making and coordinate drilling parameters across multiple rigs in real-time, ensuring consistent and optimal drilling performance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If different drilling crews operate with varying equipment and skill sets, then each crew can execute drilling operations independently, but inconsistencies in drilling parameters and responses to unexpected behavior occur

Engineering Contradiction:

Improvedrilling crew independenceVSAvoiddrilling parameter consistency

Core Design Contradiction:

Adaptability or versatilityVSManufacturing precision

Solution Approach 1:

The system standardizes drilling parameters across different crews by implementing a centralized platform that defines and enforces consistent parameter sets. Historical data analysis identifies optimal parameter ranges, which are then applied uniformly across all drilling operations regardless of crew or equipment variations, resolving the inconsistency issue while maintaining operational independence

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The system implements real-time monitoring and feedback mechanisms that track drilling parameters across all crews. When deviations or unexpected behaviors occur, the system provides immediate feedback to standardize responses and parameter adjustments, ensuring consistent handling of drilling situations across different crews and equipment types

Inventive Principle:

Principle #23Feedback

2Ease of operation

If drilling parameters are manually adjusted to address unexpected behavior, then crews can respond to downhole conditions, but miscalculated decisions may cause pipe twist-offs or fatigue failures

Engineering Contradiction:

Improveresponse to downhole conditionsVSAvoiddrilling operation safety

Core Design Contradiction:

Ease of operationVSReliability

Solution Approach 1:

The system introduces an intelligent intermediary platform that acts as a decision-support system between the drilling crew and downhole conditions. This platform analyzes real-time data, predicts potential issues, and recommends parameter adjustments based on historical patterns and simulations, reducing reliance on manual judgment and preventing miscalculated decisions that could lead to failures

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system performs preliminary analysis and simulation of drilling scenarios before actual drilling operations. By pre-calculating optimal parameter adjustments for various downhole conditions and storing these as playbooks, the system enables crews to implement pre-validated decisions, reducing the risk of miscalculated real-time adjustments

Inventive Principle:

Principle #10Preliminary action

3Productivity

If extensive non-productive time occurs due to significant drilling problems, then drilling operations are interrupted, but field development progress is delayed

Engineering Contradiction:

Improvedrilling operation continuityVSAvoidnon-productive time

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system enables crews to quickly identify and skip through potential problems by using predictive analytics to anticipate issues before they occur. By preparing pre-planned mitigation strategies and having equipment parameters pre-configured for various scenarios, the system allows crews to rapidly address or bypass problems, minimizing non-productive time and maintaining drilling momentum

Inventive Principle:

Principle #21Skipping (Rushing through)

Data Source

PatentUS11585202B2Method and system for optimizing field development

Publication Date: 2023.02.21 SAUDI ARABIAN OIL CO

AI summary

A method for optimizing a drilling roadmap may include identifying an optimal bottom hole assembly (BHA) setup and drilling parameters for a well located in a field. The BHA setup may be based on historical simulation data of the field and drilling roadmap information. The drilling roadmap information may include initial drilling instructions for implementing the drilling roadmap. The method may include implementing and tracking the drilling roadmap at the well. The drilling roadmap may be based on a location of the well on the field and a type of other applications being performed on the field. The method may include obtaining sensor collected data to determine an accuracy of implementation of the drilling roadmap. The accuracy may be determined based on a comparison between tracked drilling parameters and simulated drilling parameters.