Integrated modelling of entire production network and topsides facilities for production optimisation of major oil and gas fields

2013 ◽  
Vol 53 (2) ◽  
pp. 474
Author(s):  
Azwan Shaharun
Keyword(s):  
Oil And Gas ◽  
Network Models ◽  
Gas Production ◽  
Operating Conditions ◽  
Process Models ◽  
Integrated Modelling ◽  
Production Network ◽  
Oil And Gas Production ◽  
And Control ◽  
Process Simulator

An oil company sought to identify bottlenecks in three of their main oil and gas production networks. It was desired to, therefore, develop the entire production network from wells, flowlines, intra-field and inter-field pipelines, and export pipelines up to the onshore terminal first stage separator/slug catcher, all in the transient multi-phase-flow oil and gas (OLGA) simulator. Furthermore, the detailed topsides facilities were separately modelled in a process simulator. The OLGA and process simulator models were subsequently integrated, where the flow simulator model received boundary pressures from the topsides model and pushed through the mass flows of the individual phases into the process simulator. After field-matching and tuning the integrated models to the given field data, optimising the overall fields’ production and performance was carried out, powered by a market-leading optimisation engine. The main optimisation parameters were: wellhead choke openings; gas lift rates and allocations; and topsides operating conditions, facility constraints and control tuning parameters. The network models were used to investigate the dynamic behaviour of wells and pipelines as well as surface process facilities equipment and control systems, with the aim to improve productivity of the entire field networks. The development of the integrated and dynamic well, pipeline and process models is part of company initiatives to facilitate the design and operational support tools for the company’s engineers.

scholarly journals Improving the energy efficiency of oil production using identification and prediction of operating modes of production wells based on data analysis methods, machine learning and neural networks

2019 ◽  
Vol 124 ◽  
pp. 05031 ◽  
Author(s):  
A.M. Sagdatullin
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Control System ◽  
Oil And Gas ◽  
Gas Production ◽  
Operating Conditions ◽  
Identification System ◽  
Oil And Gas Production ◽  
The Neural Network ◽  
And Control

Currently, there is a need to improve the systems and control of pumping equipment in the oil and gas production and oil and gas transport industries. Therefore, an adaptive neural network control system for an electric drive of a production well was developed. The task of expanding the functional capabilities of asynchronous electric motors control of the oil and gas production system using the methods of neural networks is solved. We have developed software modules of the well drive control system based on the neural network, an identification system, and a scheme to adapt the control processes to changing load parameters, that is, to dynamic load, to implement the entire system for real-time control of the highspeed process. In this paper, based on a model of an identification block that includes a multilayered neural network of direct propagation, the control of the well system was implemented. The neural network of the proposed system was trained on the basis of the error back-propagation algorithm, and the identification unit works as a forecaster of system operation modes based on the error prediction. In the initial stage of the model adaptation, some fluctuations of the torque are observed at the output of the neural network, which is associated with new operating conditions and underestimated level of learning. However, the identification object and control system is able to maintain an error at minimum values and adapt the control system to a new conditions, which confirms the reliability of the proposed scheme.

Corrosion and Wear Resistant Boronizing for Tubulars and Components Used Down-Hole

2021 ◽  
Author(s):  
Roger Machado ◽  
Paola Andrea de Sales Bastos ◽  
Danny Daniel Socorro Royero ◽  
Eugene Medvedovski
Keyword(s):  
Oil And Gas ◽  
Chemical Vapour ◽  
Protective Layer ◽  
Gas Production ◽  
Operating Conditions ◽  
Material Loss ◽  
Oil And Gas Production ◽  
Dimensional Changes ◽  
Wear And Corrosion ◽  
Service Conditions

Abstract Components and tubulars in down-hole applications for oil and gas production must withstand severe wear (e.g. erosion, abrasion, rod wear) and corrosion environments. These challenges can be addressed through boronizing of steels achieved employing chemical vapour deposition-based process. This process permits protection of the entire working surfaces of production tubulars up to 12m in length, as well as various sizes of complex shaped components. The performance of these tubulars and components have been evaluated in abrasion, erosion, and corrosion conditions simulating the environment and service conditions experienced in down-hole oil and gas production. Harsh service conditions are very common in the oil industry and the combination of abrasion, friction-induced wear, erosion, and corrosion environments can be quite normal in wells producing with the assistance of artificial lift methods. The boronized steel products demonstrated significantly higher performance in terms of material loss when exposed to harsh operating conditions granting a significant extension of the component service life in wear and corrosion environments. As opposed to many coating technologies, the boronizing process provides high integrity finished products without spalling or delamination on the working surface and minimal dimensional changes. Successful application of tubulars and components with the iron boride protective layer in oil and gas production will be discussed and presented.

Development of Pumping Equipment for Oil and Gas Production in Complicated Conditions

2019 ◽  
Vol 16 (11) ◽  
pp. 4573-4578 ◽  
Author(s):  
M. A. Mokhov ◽  
Yu. A. Sazonov ◽  
V. V. Mulenko ◽  
M. A. Frankov ◽  
Kh. A. Tumanyan ◽  
...  
Keyword(s):  
Gas Turbines ◽  
Oil And Gas ◽  
Gas Production ◽  
Additive Technologies ◽  
Operating Conditions ◽  
Gas Content ◽  
Oil And Gas Production ◽  
Hydraulic Machines ◽  
Pumping Equipment ◽  
Complicated Conditions

The research is aimed at the development of new scientific principles for the creation of special pumping equipment for the extraction of oil and gas in complicated conditions. In many cases, the complicated operating conditions of the pump are determined by the high gas content and high content of mechanical impurities in the multiphase flow. In the course of scientific research, new methods of designing hydraulic machines were tested, including the use of additive technologies. In the study of labyrinth pumps, the issues were considered concerning the features of the operating process with increased rotor speed. New design of the rotor manufactured using additive technologies was discussed. It is shown that the rotor screw in a labyrinth pump can be replaced by a set of impellers, for example, by a set of centrifugal wheels or a set of axial wheels. New results concerning labyrinth pumps can give impetus to the development of research on hydraulic and gas turbines, as well as on heat engines. Some results of the works performed can be used to create robotics.

Developments on Calcium Sulfate Scaling Prediction and Control in Oil and Gas Production

2020 ◽  
Author(s):  
Samridhdi Paudyal ◽  
Sana Mateen ◽  
Chong Dai ◽  
Saebom Ko ◽  
Xin Wang ◽  
...  
Keyword(s):  
Calcium Sulfate ◽  
Oil And Gas ◽  
Gas Production ◽  
Oil And Gas Production ◽  
Prediction And Control ◽  
And Control
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