Digitalization Creates the Big Picture of Integrated ESP Optimization in Shushufindi Field

2021 ◽  
Author(s):  
Oki Maulidani ◽  
Christian Bonilla ◽  
Monica Paredes ◽  
Pedro Escalona ◽  
Jorge Villalobos ◽  
...  
Keyword(s):  
Real Time ◽  
Chemical Treatment ◽  
Process Analysis ◽  
Electrical Power ◽  
Gas Production ◽  
Strategic Decisions ◽  
Mean Time Between Failures ◽  
Water Handling ◽  
Artificial Lift ◽  
Big Picture

Abstract Electrical submersible pump (ESP) is the main artificial lift system in Shushufindi field. These systems besides facing high gas production, high scale and corrosion tendencies, also have to deal with surface fluid handling and electrical power limitations which combined impose challenges to optimize the ESP system. In perspective, the digitalization initiative has been key to integrate data in order to have a big picture of the actual field condition and ultimately to enhance oil production. Various dashboards have been created using the business intelligence tool to provide real time information. ESP dashboard shows opportunities to optimize the ESP unit by integrating real time and manual entry data to optimize frequency, surface equipment, opportunities for pump upsizing, and re-designing the ESP downhole equipment. The result of this analysis is derived from ESP simulation, nodal analysis, chemical treatment monitoring and real time surveillance of the ESP parameters. Dashboards of water handling, electrical power, and chemical treatment are utilized to support process analysis providing current field status, with also the feedback from operational and engineering recommendations. Comprehensive real time monitoring resulted in average of 500 bopd less production deferment in the last 12 months as the result of early detection and a proper operational optimization (chemical treatment, gas flaring, and choke optimization) of the unstable wells. Strategic decisions have been executed to ensure the availability of water handling capacity and electrical power for each production station such as stimulating disposal wells, cleaning injection flowlines, and repairing power generations. Up to 3,000 bopd total incremental has been generated in the last 12 months as the result of 17 upsizing operations, optimizing frequency in 68 wells, and optimizing surface equipment in 35 wells. The associated mean time between failures (MTBF) of ESP system has increased over the time from 224 days in 2013 to 674 days in 2020. Digitalization is a game changer for optimizing the oilfield production and to reduce associated operation risks from features as of real time surveillance, EDGE computing, remote actuation, and big data intelligence. This paper will elaborate in detail on how digitalization can be valuable in optimizing ESP system with a successful case study in Shushufindi field.

scholarly journals Goals and measures for analyzing power consumption data in manufacturing enterprises

2021 ◽  
Vol 3 (1) ◽  
pp. 65-82
Author(s):  
Sören Henning ◽  
Wilhelm Hasselbring ◽  
Heinz Burmester ◽  
Armin Möbius ◽  
Maik Wojcieszak
Keyword(s):  
Power Consumption ◽  
Real Time ◽  
Manufacturing Industry ◽  
Fog Computing ◽  
Electrical Power ◽  
Time Data ◽  
Manufacturing Enterprises ◽  
Computing Paradigm ◽  
Consumption Data ◽  
Analyzing Power

AbstractThe Internet of Things adoption in the manufacturing industry allows enterprises to monitor their electrical power consumption in real time and at machine level. In this paper, we follow up on such emerging opportunities for data acquisition and show that analyzing power consumption in manufacturing enterprises can serve a variety of purposes. In two industrial pilot cases, we discuss how analyzing power consumption data can serve the goals reporting, optimization, fault detection, and predictive maintenance. Accompanied by a literature review, we propose to implement the measures real-time data processing, multi-level monitoring, temporal aggregation, correlation, anomaly detection, forecasting, visualization, and alerting in software to tackle these goals. In a pilot implementation of a power consumption analytics platform, we show how our proposed measures can be implemented with a microservice-based architecture, stream processing techniques, and the fog computing paradigm. We provide the implementations as open source as well as a public show case allowing to reproduce and extend our research.

Digital Workflow to Enhance Reservoir Management Strategies for A Complex Oil Field Through Real Time and Advanced Engineering Monitoring Solution

2021 ◽  
Author(s):  
Julieta Alvarez ◽  
Oswaldo Espinola ◽  
Luis Rodrigo Diaz ◽  
Lilith Cruces
Keyword(s):  
Real Time ◽  
Reservoir Characterization ◽  
Management Strategies ◽  
Reservoir Management ◽  
Gas Production ◽  
Oil Field ◽  
Oil Reservoirs ◽  
Production Operation ◽  
Digital Workflow ◽  
Operational Decisions

Abstract Increase recovery from mature oil reservoirs requires the definition of enhanced reservoir management strategies, involving the implementation of advanced methodologies and technologies in the field's operation. This paper presents a digital workflow enabling the integration of commonly isolated elements such as: gauges, flowmeters, inflow control devices; analysis methods and data, used to improve scientific understanding of subsurface flow dynamics and determine improved operational decisions that support field's reservoir management strategy. It also supports evaluation of reservoir extent, hydraulic communication, artificial lift impact in the near-wellbore zone and reservoir response to injected fluids and coning phenomenon. This latest is used as an example to demonstrate the applicability of this workflow to improve and support operational decisions, minimizing water and gas production due to coning, that usually results in increasing production operation costs and it has a direct impact decreasing reservoir energy in mature saturated oil reservoirs. This innovative workflow consists on the continuous interpretation of data from downhole gauges, referred in this paper as data-driven; as well as analytical and numerical simulation methodologies using real-time raw data as an input, referred in this paper as model-driven, not commonly used to analyze near wellbore subsurface phenomena like coning and its impact in surface operation. The resulting analyses are displayed through an extensive visualization tool that provides instant insight to reservoir characterization and productivity groups, improving well and reservoir performance prediction capabilities for complex reservoirs such as mature saturated reservoirs with an associated aquifer, where undesired water and gas production is a continuous challenge that incorporates unexpected operational expenses.

First Worldwide Slim Coiled Tubing Logging Tractor Deployment

2021 ◽  
Author(s):  
Laurie S. Duthie ◽  
Hussain A. Saiood ◽  
Abdulaziz A. Al-Anizi ◽  
Norman B. Moore ◽  
Carol Correia
Keyword(s):  
Real Time ◽  
Electrical Power ◽  
Quality Of Data ◽  
Coiled Tubing ◽  
Creative Solutions ◽  
Electrical Submersible Pumps ◽  
Open Hole ◽  
Frictional Forces ◽  
Pulling Force ◽  
Factory Testing

Abstract Successful reservoir surveillance and production monitoring is a key component for effectively managing any field production strategy. For production logging in openhole horizontal extended reach wells (ERWs), the challenges are formidable and extensive; logging these extreme lengths in a cased hole would be difficult enough, but are considerably exaggerated in the openhole condition. A coiled tubing (CT) logging run in open hole must also contend with increased frictional forces, high dogleg severity, a quicker onset of helical buckling and early lockup. The challenge to effectively log these ERWs is further complicated by constraints in the completion where electrical submersible pumps (ESPs) are installed including a 2.4" bypass section. Although hydraulically powered coiled tubing tractors already existed, a slim CT tractor with real-time logging capabilities was not available in the market. In partnership with a specialist CT tractor manufacturer, a slim logging CT tractor was designed and built to meet the exceptional demands to pull the CT to target depth. The tractor is 100% hydraulically powered, with no electrical power allowing for uninterrupted logging during tractoring. The tractor is powered by the differential pressure from the bore of the CT to the wellbore, and is operated by a pre-set pump rate from surface. Developed to improve the low coverage in open hole ERW logging jobs, the tractor underwent extensive factory testing before being deployed to the field. The tractor was rigged up on location with the production logging tool and ran in hole. Once the coil tubing locked up, the tractor was activated and pulled the coil to cover over 90% of the open hole section delivering a pulling force of up to 3,200 lb. Real-time production logging was conducted simultaneously with the tractor activated, flowing and shut-in passes were completed to successfully capture the zonal inflow profile. Real-time logging with the tractor is logistically efficient and allows instantaneous decision making to repeat passes for improved data quality. The new slim logging tractor is the world's slimmest most compact, and the first of its kind CT tractor that enables production logging operations in horizontal extended reach open hole wells. The ability to successfully log these extended reach wells cannot be understated, reservoir simulations and management decisions can only as good as the quality of data available. Some of the advantages of drilling extended reach wells such as increased reservoir contact, reduced footprint and less wells drilled will be lost if sufficient reservoir surveillance cannot be achieved. To maximize the benefits of ERWs, creative solutions and innovative designs must continually be developed to push the boundaries further.

Full scale co-digestion of organic waste

2000 ◽  
Vol 41 (3) ◽  
pp. 195-202 ◽  
Author(s):  
H. Kübler ◽  
K. Hoppenheidt ◽  
P. Hirsch ◽  
A. Kottmair ◽  
R. Nimmrichter ◽  
...  
Keyword(s):  
Negative Impact ◽  
Biogas Production ◽  
Electrical Power ◽  
Nutrient Content ◽  
Primary Energy ◽  
Gas Production ◽  
Waste Streams ◽  
Volatile Solids ◽  
Operation Results ◽  
The Impact

Operational results of a co-digestion facility were assessed over a period of 18 months. The organic fraction of municipal solid waste (OFMSW) contains a considerable amount of contaminants and grit (up to 6% w/w). A BTA-Pulper efficiently treated the different waste streams and converted a high amount of volatile solids (VS) into the digester feedstock. The seasonal fluctuations of the waste composition significantly influenced the biogas production. The impact of this seasonally variant degradability of VS had to be considered by evaluating the operation results. The waste streams investigated did not show any negative impact on digester performance. The hydraulic retention time (HRT) in the digester considerably affected the VS-reduction. Despite a considerable decrease of VS-degradation a reduction of HRT from 14 to 8 days slightly improves the gas production rate (GPR). An activated sludge system efficiently reduced the pollution of the effluent.The nutrient content of the anaerobic compostwas favourable and the content of pollutants was low. The facility produced surplus electrical power up to 290 MJ/t. An overall energy balance shows that the facility substitutes primary energy.

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