Rodrigues, 2024 - Google Patents
Applying Particle Swarm Optimisation Technique to Calculate Rod Torque Limits for Wells and Preventing Impending PCP Rod FailuresRodrigues, 2024
- Document ID
- 3344909437496207038
- Author
- Rodrigues J
- Publication year
- Publication venue
- SPE EOR Conference at Oil and Gas West Asia
External Links
Snippet
Most of the producing oil wells require some form of artificial lift for pumping production fluids to the surface. The Progressing cavity pump (PCP) is considered as one of the most robust types of artificial lift method. About 10 to 15 percent of almost one million wells worldwide …
- 238000000034 method 0 title abstract description 25
Classifications
-
- 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
- E21B43/00—Methods or apparatus for obtaining oil, gas, water, soluble or meltable materials or a slurry of minerals from wells
- E21B43/12—Methods or apparatus for controlling the flow of the obtained fluid to or in wells
- E21B43/121—Lifting well fluids
-
- 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
- E21B41/00—Equipment or details not covered by groups E21B15/00 - E21B40/00
- E21B2041/0028—Fuzzy logic, artificial intelligence, neural networks, or the like
-
- 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
- E21B43/00—Methods or apparatus for obtaining oil, gas, water, soluble or meltable materials or a slurry of minerals from wells
- E21B43/14—Obtaining from a multiple-zone well
-
- 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
- E21B43/00—Methods or apparatus for obtaining oil, gas, water, soluble or meltable materials or a slurry of minerals from wells
- E21B43/16—Enhanced recovery methods for obtaining hydrocarbons
-
- 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
-
- 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
- E21B41/00—Equipment or details not covered by groups E21B15/00 - E21B40/00
- E21B41/0085—Adaptations of electric power generating means for use in boreholes
-
- 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
- E21B41/00—Equipment or details not covered by groups E21B15/00 - E21B40/00
- E21B41/0092—Methods relating to program engineering, design or optimisation
-
- 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
-
- 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
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US11802471B2 (en) | Well planning system | |
US20240352839A1 (en) | Oilfield system | |
US20210081710A1 (en) | System and method for treatment optimization | |
Gupta et al. | Applying big data analytics to detect, diagnose, and prevent impending failures in electric submersible pumps | |
US20220025753A1 (en) | Hydraulic fracturing job plan real-time revisions utilizing collected time-series data | |
Noshi | Application of data science and machine learning algorithms for ROP optimization in West Texas: turning data into knowledge | |
Gupta et al. | ESP health monitoring KPI: a real-time predictive analytics application | |
EP3097483B1 (en) | Simplified compositional models for calculating properties of mixed fluids in a common surface network | |
Deng et al. | Hypervolume-based multiobjective optimization for gas lift systems | |
US20220170353A1 (en) | Event driven control schemas for artificial lift | |
WO2023136856A1 (en) | Field pump equipment system | |
EP3841406B1 (en) | Dynamic field operations system | |
Gutierrez et al. | A new approach to gas lift optimization using an integrated asset model | |
Mogollón et al. | New trends in waterflooding project optimization | |
Park et al. | Production-system optimization of gas fields using hybrid fuzzy/genetic approach | |
Devshali et al. | Predicting ESP failures Using Artificial Intelligence for Improved Production Performance in One of the Offshore Fields in India | |
Palmer et al. | Proactive rod pump optimization: Leveraging big data to accelerate and improve operations | |
Rodrigues | Applying Particle Swarm Optimisation Technique to Calculate Rod Torque Limits for Wells and Preventing Impending PCP Rod Failures | |
US20230003113A1 (en) | Method and system using machine learning for well operations and logistics | |
Al-Jasmi et al. | Short-term production prediction in real time using intelligent techniques | |
Shyeh et al. | Examples of Right-Time Decisions from High Frequency Data | |
Hacker | An IOC's experience in implementing digital oilfield technologies | |
WO2021029858A1 (en) | Model based preference learning and optimization systems and methods | |
Putra et al. | Artificial Lift Real-Time Monitoring Digitalization Method: An Advanced Approach with Artificial Intelligence to Achieve Efficient Well Surveillance by Utilizing SCADA | |
EP3915082B1 (en) | Oilfield system |