Integrated Well Construction Automation System
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Solution Overview
Problem
Current well construction processes lack an integrated end-to-end automation system, leading to inefficiencies in information transfer, limited automation scope, and ineffective real-time feedback, resulting in increased costs and operational challenges.
Innovation Solution
An integrated end-to-end well construction automation system that includes an e-program for optimizing well construction plans using historical data and real-time sensor feedback, a drilling control layer for automated sequence generation, and a smart well analytics system for predictive analytics and alarm management, ensuring seamless data synchronization between local and cloud-based systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If existing automation technologies are integrated across multiple systems, then automation scope is improved, but device complexity increases
Solution Approach 1:
The patent merges multiple independent automation systems (drilling automation, well construction automation, real-time monitoring) into a single integrated end-to-end automation platform. This consolidation reduces the number of separate systems that need to be coordinated, thereby managing complexity while expanding overall automation scope across the entire well construction process.
Solution Approach 2:
The automation system is designed with universal capabilities that can perform multiple functions across different well construction activities. A single automated control platform handles diverse operations including drilling parameters control, equipment coordination, real-time data analysis, and predictive analytics, eliminating the need for separate specialized systems for each function.
2Productivity
If real-time feedback systems provide automated actions to machines, then productivity is improved, but device complexity increases
Solution Approach 1:
The system implements self-service automation where the well construction equipment automatically adjusts its own operations based on real-time feedback from sensors and analytics. The automated control platform enables machines to self-regulate drilling parameters, detect anomalies, and optimize performance without requiring complex external control systems for each individual machine.
Solution Approach 2:
A comprehensive real-time feedback loop is established where sensors continuously monitor well construction parameters, the central platform analyzes this data using predictive analytics, and automated actions are immediately implemented. This closed-loop feedback system improves productivity by enabling rapid response to changing conditions while managing complexity through centralized intelligent processing rather than distributed complex controls.
3Adaptability or versatility
If well construction processes use multiple separate systems for information management, then adaptability is improved, but loss of information increases
Solution Approach 1:
The patent consolidates multiple separate information management systems into a unified digital platform that centralizes all well construction data. This single integrated system eliminates information silos and transfer inefficiencies while maintaining adaptability through its ability to handle diverse data types and configurations from various sources within one cohesive architecture.
Data Source
AI summary
An end-to-end well construction system includes an e-program for receiving a first input selected from well planning data, rig historical performance data, rig parameters, drilling engineering input, management of change, and a combination thereof, and configured to produce a first output selected from a machine and/or human readable sequence, a time depth curve, a drilling program, and a combination thereof, and a second output including analytics data. Further, the end-to-end well construction system includes a drilling control layer, configured to receive the first output from e-program, and to produce a third output including an automated sequence, and a smart well analytics system configured to receive the analytics data from the e-program and a second input selected from drilling data, downhole data, base data from the e-program, a modeling software, and a combination thereof, and to produce a fourth output to the drilling control layer for automated adjustment.