Surface Steerable Drilling with Tactical Tracking Feedback Control

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current drilling technologies face challenges in accurately and efficiently drilling complex boreholes due to directional drilling complexities, leading to increased costs and potential long-term output reduction from drilling errors.

Innovation Solution

A surface steerable drilling system that utilizes a centralized database to collect and analyze geological and drilling data, providing real-time feedback and control to an on-site controller to optimize drilling operations, improve decision-making, and minimize errors through data-driven decision support.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If traditional drilling methods are used, then operational simplicity is maintained, but drilling precision and error reduction are insufficient

Engineering Contradiction:
Improvedrilling precisionVSAvoidsystem complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The system implements real-time feedback by continuously monitoring drilling parameters (weight on bit, rotary speed, pump pressure, flow rate) and comparing them against optimal ranges. The controller automatically adjusts Bottom Hole Assembly orientation and drilling parameters based on this feedback, enabling precise borehole trajectory control while maintaining automated operation.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

A centralized database serves as an intermediary between surface monitoring equipment and downhole drilling operations. The database stores and processes drilling data, formation information, and equipment parameters, enabling coordinated control of multiple drilling functions and providing a foundation for automated decision-making algorithms.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If manual drilling control is used, then system simplicity is maintained, but human error and cost increase

Engineering Contradiction:
Improveerror reductionVSAvoidautomation level
Core Design Contradiction:
ReliabilityVSExtent of automation

Solution Approach 1:

The drilling system performs self-adjustment by automatically modifying Bottom Hole Assembly orientation and drilling parameters based on real-time conditions. The controller autonomously responds to changes in formation characteristics, equipment status, and trajectory requirements, reducing dependence on manual intervention and minimizing human error.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

Real-time feedback loops continuously monitor drilling parameters and automatically adjust operations to maintain optimal performance. The system compares actual parameters against target ranges and self-corrects deviations, improving reliability through automated error prevention and correction mechanisms.

Inventive Principle:
Principle #23Feedback

3Productivity

If real-time data collection and analysis are implemented, then drilling efficiency is improved, but data processing requirements and system complexity increase

Engineering Contradiction:
Improvedrilling efficiencyVSAvoiddata processing burden
Core Design Contradiction:
ProductivityVSLoss of information

Solution Approach 1:

The system extracts and monitors only the most critical drilling parameters (weight on bit, rotary speed, pump pressure, flow rate, Bottom Hole Assembly orientation) that directly impact drilling efficiency and safety. By focusing on key parameters rather than collecting all possible data, the system reduces processing burden while maintaining effective real-time control.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The centralized database serves multiple functions: storing real-time drilling data, archiving formation information, tracking equipment status, supporting decision-making algorithms, and providing historical analysis. This multi-functional approach consolidates data management tasks and improves productivity without proportionally increasing system complexity.

Inventive Principle:
Principle #6Universality (Multi-functionality)

4Productivity

If automated control systems are deployed, then operational costs are reduced, but initial system complexity and investment increase

Engineering Contradiction:
Improveoperational efficiencyVSAvoidcontrol system complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The automated control system is segmented into modular components: surface monitoring equipment, centralized database, controller, and Bottom Hole Assembly actuators. Each module performs a specific function and can be independently configured or maintained, reducing overall system complexity while enabling automated operation and improving operational efficiency.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS11085283B2System and method for surface steerable drilling using tactical tracking
Publication Date: 2021.08.10 MOTIVE DRILLING TECH
  • US11085283B2 patent drawing
  • US11085283B2 patent drawing
  • US11085283B2 patent drawing

AI summary

An apparatus associated with a drilling rig includes a surface steerable system for controlling drilling direction of a bottom hole assembly (BHA). The surface steerable system is configured to receive drilling rig parameters from the BHA. A database stores historical data related to the drilling rig. The historical data relates to previously tracked operations of the drilling rig. The surface steerable system is further configured to perform a plurality of tracking functions with respect to the drilling rig parameters. The plurality of tracking functions cause the surface steerable system to track drilling rig parameters from sensors associated with the drilling rig, access the database of the historical data relating to previously tracked operations of the drilling rig and control operating functions of the drilling rig responsive to at least one of the drilling rig parameters from the sensors associated with the drilling rig and the historical data from the database.