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artificial lift system
Upon completion of this module, the participant should be able to: distinguish among the common methods of artificial lift and understand their advantages and limitations, select the most appropriate artificial lift method for a given set of well and economic conditions, perform basic surface and subsurface design calculations for gas lift and pump-assisted systems, and monitor artificial lift performance.
Liquid loading poses a persistent challenge in gas well operations, particularly at low gas rates, leading to flow instabilities and operational disruptions. Traditional mitigation methods incur additional costs and rely on empirical correlations, often lacking precision in field applications. In response, we present an innovative data-driven approach for Liquid Loading Detection and Prediction (LLDP), leveraging high-frequency measurements to identify liquid loading onset and correct critical rates. By computing diagnostic statistical proxy features, we characterize flow instability, adjust gas rates via feedback control, and calibrate empirical correlations for accurate prediction. Extensively applied across diverse gas fields, LLDP consistently matches field observations, optimizing operations and minimizing costs.
Do not underestimate the complexity of CO2 injection behavior for full scale projects. Correct installation of the wellhead is crucial for successful drilling operations and long-term equipment reliability into the production phase. Correct installation of the wellhead is crucial for successful drilling operations and long-term equipment reliability into the production phase. Our industry faces new challenges and demands in operating wells with rod pump artificial lift systems. Complex challenges require new solutions.
Discover how the 2022 SPE Artificial Lift Conference provides critical technical content and networking to help advance artificial lift techniques relevant to unconventional shale developments. At this conference, attendees join E&P experts and explore innovative solutions and ground-breaking technologies that support artificial lift requirements. Learn more here about the event and why you should attend the next edition.
High volume ESP systems necessitate high voltage and involve high pressures. Managing high volumes, pressures, and voltage effectively requires careful planning and job evaluation. This session discusses the conventional ESP system components and processes requiring a critical look during selection and job planning, including onsite preparations. The number of ESP installations with Permanent Magnet Motor (PMM) is rapidly increasing. This session introduces the differences between induction and permanent management motors and how it changes the job planning process.
The industry is now in its second year beyond the COVID-19 pandemic, and the workforce has changed in many ways, but issues facing production performance remain. Major conferences saw 116 submissions from 28 countries, with 64% regarding electrical submersible pumps (ESPs), and 18% and 8% devoted to gas lift and rod lift, respectively. Many of the papers dealt with case history successes. That is all well and good, but it doesn't necessarily drive reader interest if it can't be applied to their asset. The top three papers were selected on the guidelines of clarity of the abstract in addressing the scope, methods/procedures/process, results/observations/conclusions, and novel or additive information.
- North America > United States > Texas > Permian Basin > Yeso Formation (0.99)
- North America > United States > Texas > Permian Basin > Yates Formation (0.99)
- North America > United States > Texas > Permian Basin > Wolfcamp Formation (0.99)
- (21 more...)
This paper presents a novel approach using artificial neural networks (ANNs) to predict the discharge pressure of electrical submersible pumps (ESPs). A data set of more than 12,000 data points collected from 40 different wells was used to train and test various ANN models with different input parameters. The ability to predict discharge pressure accurately can lead to the early detection of possible anomalies. The data-collection process for ESP sensor data involved collecting data from 40 wells operational during 2019–2023 with starting dates from 2019 through 2022. The data included key parameters provided in the complete paper.
- Production and Well Operations > Artificial Lift Systems > Electric submersible pumps (1.00)
- Data Science & Engineering Analytics > Information Management and Systems > Neural networks (1.00)
- Production and Well Operations > Artificial Lift Systems > Gas lift (0.91)
- Facilities Design, Construction and Operation > Processing Systems and Design > Compressors, engines and turbines (0.91)