A Comprehensive ESP Preventive Maintenance Program for Long-Term Reliability, Better Life Cycle and Maximum Availability

2021 ◽  
Author(s):  
Ali Mohammedjawad Almukharriq ◽  
Ahmed Ali Khalaf ◽  
Saud Abdulaziz Alquwizani ◽  
Francis Eugene Dominguez

Abstract The reliability of Electrical Submersible Pumps (ESPs) is a critical target for companies managing artificially lifted fields. While efforts to continuously improve the reliability in the downhole system are crucial, it is necessary to focus on the health and long-term reliability of the ESP surface equipment. One effective approach toward achieving this goal is through conducting a comprehensive Preventive Maintenance Program (PMP) for the different components of the ESP surface system. An ESP PMP should be managed without jeopardizing production strategy. The design of the PMP must meet the production demand while maintaining the best-in-class PMP practices. The well operating condition, frequency, weather, well location, required periodic inspection and preemptive servicing and replacement of surface equipment components must be considered, based on studied criterion. The design of the PMP considers equipment upgrades and thermal imaging surveillance to guarantee healthy electrical systems. The mentioned activities have to be captured in a dedicated checklist to cover all requirements. To ensure adequate PMP planning, a well-structured tracking mechanism must be followed. Implementing the recommended PMP framework contributes to minimizing ESP surface equipment component defects like transformer failures, blown fuses, jammed fans, obsolete drive controllers, etc. The proposed PMP is structured to achieve maximum production availability while maintaining a healthier run-life of surface equipment with minimal outages. To ensure minimal ESP surface equipment malfunctions, a comprehensive periodic checkup and well-designed replacement mechanism of surface equipment components should be implemented. The operator company and the maintenance service provider will be able to easily identify the bad actors without complicating the overall process. Consequently, efforts will be made to assign and implement corrective actions to avoid similar problems. The PMP will significantly enhance the ESP surface equipment reliability and prolong the uptime of the fixed/variable speed drives, associated transformers, and other auxiliary equipment. In addition, it should reduce the ESP trips attributed to the malfunction of any surface equipment component and consequently minimize the operational and financial impact of production disruptions. Ultimately, the operator company will be able to maximize its production availability and comply with its planned strategies to meet its target. As a result, the PMP will significantly improve the ESP Key Performance Indicator(KPI) records. In this paper, an innovative and structured framework for ESP surface equipment PMP will be illustrated in details. Additionally, a prototype that contains the main formulas and tools in the program, which were derived from huge historical records and data analytics, will be shown. The paper will explain why and how the PMP can help any operator company or service provider to excel in maintaining healthy ESP systems while meeting its production commitments.

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Saeed Peyghami ◽  
Tomislav Dragicevic ◽  
Frede Blaabjerg

AbstractThis paper proposes a long-term performance indicator for power electronic converters based on their reliability. The converter reliability is represented by the proposed constant lifetime curves, which have been developed using Artificial Neural Network (ANN) under different operating conditions. Unlike the state-of-the-art theoretical reliability modeling approaches, which employ detailed electro-thermal characteristics and lifetime models of converter components, the proposed method provides a nonparametric surrogate model of the converter based on limited non-linear data from theoretical reliability analysis. The proposed approach can quickly predict the converter lifetime under given operating conditions without a further need for extended, time-consuming electro-thermal analysis. Moreover, the proposed lifetime curves can present the long-term performance of converters facilitating optimal system-level design for reliability, reliable operation and maintenance planning in power electronic systems. Numerical case studies evaluate the effectiveness of the proposed reliability modeling approach.


2016 ◽  
Author(s):  
Edgar Lara-Curzio ◽  
Orlando Rios ◽  
Andres Emilio Marquez-Rossy

2005 ◽  
Vol 01 (03) ◽  
pp. 359-369
Author(s):  
IAN FENTY ◽  
ERIC BONABEAU ◽  
JUERGEN BRANKE

In this paper, co-evolution is used to examine the long-term evolution of business models in an industry. Two types of co-evolution are used: synchronous, whereby the entire population of business models is replaced with a new population at each generation, and asynchronous, whereby only one individual is replaced.


Soil Research ◽  
2001 ◽  
Vol 39 (3) ◽  
pp. 435 ◽  
Author(s):  
R. C. Dalal ◽  
K. Y. Chan

The Australian cereal belt stretches as an arc from north-eastern Australia to south-western Australia (24˚S–40˚S and 125˚E–147˚E), with mean annual temperatures from 14˚C (temperate) to 26˚C (subtropical), and with annual rainfall ranging from 250 mm to 1500 mm. The predominant soil types of the cereal belt include Chromosols, Kandosols, Sodosols, and Vertosols, with significant areas of Ferrosols, Kurosols, Podosols, and Dermosols, covering approximately 20 Mha of arable cropping and 21 Mha of ley pastures. Cultivation and cropping has led to a substantial loss of soil organic matter (SOM) from the Australian cereal belt; the long-term SOM loss often exceeds 60% from the top 0–0.1 m depth after 50 years of cereal cropping. Loss of labile components of SOM such as sand-size or particulate SOM, microbial biomass, and mineralisable nitrogen has been even higher, thus resulting in greater loss in soil productivity than that assessed from the loss of total SOM alone. Since SOM is heterogeneous in nature, the significance and functions of its various components are ambiguous. It is essential that the relationship between levels of total SOM or its identif iable components and the most affected soil properties be established and then quantif ied before the concentrations or amounts of SOM and/or its components can be used as a performance indicator. There is also a need for experimentally verifiable soil organic C pools in modelling the dynamics and management of SOM. Furthermore, the interaction of environmental pollutants added to soil, soil microbial biodiversity, and SOM is poorly understood and therefore requires further study. Biophysically appropriate and cost-effective management practices for cereal cropping lands are required for restoring and maintaining organic matter for sustainable agriculture and restoration of degraded lands. The additional benefit of SOM restoration will be an increase in the long-term greenhouse C sink, which has the potentialto reduce greenhouse emissions by about 50 Mt CO2 equivalents/year over a 20-year period, although current improved agricultural practices can only sequester an estimated 23% of the potential soil C sink.


2017 ◽  
Vol 25 (1) ◽  
pp. 46-56 ◽  
Author(s):  
Ronald W. Thompson ◽  
Kristin Duppong Hurley ◽  
Alexandra L. Trout ◽  
Jonathan C. Huefner ◽  
Daniel L. Daly

Residential care has been criticized for its high cost and limited research evidence. While recent studies and reviews of the literature suggest that a number of evidence-based practices are being implemented in residential care settings, more research is needed to develop and test empirically based practices that can be successfully implemented in residential care. In this article, we offer a promising strategy to address this issue: a long-term research partnership between a large service provider agency and a university-based research center to conduct a program of research which has resulted in translation of evidence-supported practices into service provider programs, contributions to the science of residential care, and training opportunities for young applied scientists to specialize in this important work. This evolving program of research includes four core applied research topic areas in which this collaboration has had some ongoing success: program and practice implementation fidelity, therapeutic process factors, aftercare, and psychotropic medication use. We suggest that this type of long-term collaborative research partnership is an approach for others to consider for conducting research that informs effective residential care practices.


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