Abbas et al., 2023 - Google Patents
Automatic Driller Optimization Application Using Machine Learning and Artificial Intelligence Drives Consistent Performance in an Operator's West Texas Drilling …Abbas et al., 2023
- Document ID
- 13155307671758780950
- Author
- Abbas R
- Simon A
- Dunbar D
- Serrano R
- Creegan A
- Prochaska E
- Publication year
- Publication venue
- SPE Annual Technical Conference and Exhibition?
External Links
Snippet
A large operator and drilling rig contractor worked collaboratively with a service company using a machine learning and artificial intelligence application to adjust setpoints on the auto driller to optimize performance in a West Texas drilling program. This application, which …
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
- G06Q10/0639—Performance analysis
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B44/00—Automatic control systems specially adapted for drilling operations, i.e. self-operating systems which function to carry out or modify a drilling operation without intervention of a human operator, e.g. computer-controlled drilling systems; Systems specially adapted for monitoring a plurality of drilling variables or conditions
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B47/00—Survey of boreholes or wells
- E21B47/12—Means for transmitting measuring-signals or control signals from the well to the surface or from the surface to the well, e.g. for logging while drilling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Eren et al. | Real time optimization of drilling parameters during drilling operations | |
| Temizel et al. | A comprehensive review of smart/intelligent oilfield technologies and applications in the oil and gas industry | |
| Dashevskiy et al. | Application of neural networks for predictive control in drilling dynamics | |
| Chapman et al. | Automated closed-loop drilling with ROP optimization algorithm significantly reduces drilling time and improves downhole tool reliability | |
| Saputelli et al. | Real-time decision-making for value creation while drilling | |
| De Wardt et al. | Drilling Systems Automation Roadmap-The Means to Accelerate Adoption | |
| Akimov et al. | Evolution of Drilling Dynamics Measurement Systems | |
| Khosravanian et al. | Methods for petroleum well optimization: automation and data solutions | |
| Valisevich et al. | Drillbit optimization system: real-time approach to enhance rate of penetration and bit wear monitoring | |
| Elmgerbi et al. | Machine learning techniques application for real-time drilling hydraulic optimization | |
| Al-Ghunaim et al. | Operations efficiency: improved well planning methodology based on invisible lost time smart KPIs | |
| Cao et al. | Digital transformation strategy enables automated real-time torque-and-drag modeling | |
| Hummes et al. | Executing the Digital Well Plan-Enhancing Process Automation | |
| Bjornsson et al. | Drilling optimization using bit selection expert system and ROP prediction algorithm improves drilling performance and enhances operational decision making by reducing performance uncertainties | |
| Abbas et al. | Automatic Driller Optimization Application Using Machine Learning and Artificial Intelligence Drives Consistent Performance in an Operator’s West Texas Drilling Program | |
| Mason et al. | New real-time casing running advisory system reduces NPT | |
| Amin et al. | Real-Time Drilling Engineering and Data-Driven Solutions for Upstream Cost Savings: Coupling Earth Models, Digital Twins, Data & Drilling Automation | |
| Saeverhagen et al. | Remote Real-Time Analysis-A Game Changer for Remote Operation Centers | |
| Todd et al. | Operationalizing Upstream Process Safety for Drilling Operations by Adopting an Integrated Risk Assessment Approach | |
| Davila et al. | Integrated Risk Management Strategy for Offshore Drilling Operations | |
| Cao et al. | Drilling Advisory Automation with Digital Twin and AI Technologies | |
| Ajayi et al. | Defining and Implementing Functional Requirements of an Intelligent-Well Completion System | |
| Vempati et al. | Case Studies in Deriving Holistic Insights from an Automated Drilling Optimization Platform | |
| Rangel et al. | Preventing Operational Problems and Significant Reduction on Drilling Days Utilizing Proactive Risk Assessment Strategy | |
| Ahmad et al. | Transforming Real Time Drilling Operation Center into a High-Performance Enabler in the Digital Era: A Brunei Case Study |