Digital Oil Field; The NPDC Experience

2021 ◽  
Author(s):  
Henry Ijomanta ◽  
Lukman Lawal ◽  
Onyekachi Ike ◽  
Raymond Olugbade ◽  
Fanen Gbuku ◽  
...  

Abstract This paper presents an overview of the implementation of a Digital Oilfield (DOF) system for the real-time management of the Oredo field in OML 111. The Oredo field is predominantly a retrograde condensate field with a few relatively small oil reservoirs. The field operating philosophy involves the dual objective of maximizing condensate production and meeting the daily contractual gas quantities which requires wells to be controlled and routed such that the dual objectives are met. An Integrated Asset Model (IAM) (or an Integrated Production System Model) was built with the objective of providing a mathematical basis for meeting the field's objective. The IAM, combined with a Model Management and version control tool, a workflow orchestration and automation engine, A robust data-management module, an advanced visualization and collaboration environment and an analytics library and engine created the Oredo Digital Oil Field (DOF). The Digital Oilfield is a real-time digital representation of a field on a computer which replicates the behavior of the field. This virtual field gives the engineer all the information required to make quick, sound and rational field management decisions with models, workflows, and intelligently filtered data within a multi-disciplinary organization of diverse capabilities and engineering skill sets. The creation of the DOF involved 4 major steps; DATA GATHERING considered as the most critical in such engineering projects as it helps to set the limits of what the model can achieve and cut expectations. ENGINEERING MODEL REVIEW, UPDATE AND BENCHMARKING; Majorly involved engineering models review and update, real-time data historian deployment etc. SYSTEM PRECONFIGURATION AND DEPLOYMENT; Developed the DOF system architecture and the engineering workflow setup. POST DEPLOYMENT REVIEW AND UPDATE; Currently ongoing till date, this involves after action reviews, updates and resolution of challenges of the DOF, capability development by the operator and optimizing the system for improved performance. The DOF system in the Oredo field has made it possible to integrate, automate and streamline the execution of field management tasks and has significantly reduced the decision-making turnaround time. Operational and field management decisions can now be made within minutes rather than weeks or months. The gains and benefits cuts across the entire production value chain from improved operational safety to operational efficiency and cost savings, real-time production surveillance, optimized production, early problem detection, improved Safety, Organizational/Cross-discipline collaboration, data Centralization and Efficiency. The DOF system did not come without its peculiar challenges observed both at the planning, execution and post evaluation stages which includes selection of an appropriate Data Gathering & acquisition system, Parts interchangeability and device integration with existing field devices, high data latency due to bandwidth, signal strength etc., damage of sensors and transmitters on wellheads during operations such as slickline & WHM activities, short battery life, maintenance, and replacement frequency etc. The challenges impacted on the project schedule and cost but created great lessons learnt and improved the DOF learning curve for the company. The Oredo Digital Oil Field represents a future of the oil and gas industry in tandem with the industry 4.0 attributes of using digital technology to drive efficiency, reduce operating expenses and apply surveillance best practices which is required for the survival of the Oil and Gas industry. The advent of the 5G technology with its attendant influence on data transmission, latency and bandwidth has the potential to drive down the cost of automated data transmission and improve the performance of data gathering further increasing the efficiency of the DOF system. Improvements in digital integration technologies, computing power, cloud computing and sensing technologies will further strengthen the future of the DOF. There is need for synergy between the engineering team, IT, and instrumentation engineers to fully manage the system to avoid failures that may arise from interface management issues. Battery life status should always be monitored to ensure continuous streaming of real field data. New set of competencies which revolves around a marriage of traditional Petro-technical skills with data analytic skills is required to further maximize benefit from the DOF system. NPDC needs to groom and encourage staff to venture into these data analytic skill pools to develop knowledge-intelligence required to maximize benefit for the Oredo Digital Oil Field and transfer this knowledge to other NPDC Asset.

2016 ◽  
Vol 11 (3) ◽  
pp. 376-394 ◽  
Author(s):  
Alkis Thrassou

Purpose Utilising a substantial volume of reliable international literature, information and positions – as well as many, less credible, local ones – the research analyses and interprets theoretical, secondary and primary data that are specific, relevant or peripheral to the emerging oil and gas industry of Cyprus. The purpose of this paper is to identify and investigate the forces and factors that affect the development of this very new industry; and to integrate them into a single provisional industry forces model. Design/methodology/approach This research is purely exploratory and is methodologically based on the review, comparison and interrelation of an extensive array of theoretical and secondary data works; which is reinforced and refined through an injection of primary qualitative work in the form of 20 expert and high-level interviews. Findings The research achieves the above-stated aim and further concludes with a schematic industry representation, allowing a comprehensive overview of the industry and additionally depicting some of the key interrelationship categorisations that constitute the key factors in decision-making at all levels. Originality/value The value of the research lies in its real-time approach to data gathering and analysis. The research aids in the understanding of the environment components, not simply as individual elements affecting their subject, but as a comprehensive system; demonstrating that it is this exact systemic understanding of the constituent elements that will support and facilitate the proper development of the industry. The research also bears global/generic importance as it provides a rare insight to the issues and complexities of a country having to first deal with the discovery of hydrocarbons in its economic zone.


2020 ◽  
pp. 42-45
Author(s):  
J.A. Kerimov ◽  

The implementation of plastic details in various constructions enables to reduce the prime cost and labor intensity of machine and device manufacturing, decrease the weight of design and improve their quality and reliability at the same time. The studies were carried out with the aim of labor productivity increase and substitution of colored and black metals with plastic masses. For this purpose, the details with certain characteristics were selected for further implementation of developed technological process in oil-gas industry. The paper investigates the impact of cylinder and compression mold temperature on the quality parameters (shrinkage and hardness) of plastic details in oil-field equipment. The accessible boundaries of quality indicators of the details operated in the equipment of exploration, drilling and exploitation of oil and gas industry are studied in a wide range of mode parameters. The mathematic dependences between quality parameters (shrinkage and hardness) of the details on casting temperature are specified.


2021 ◽  
Vol 73 (10) ◽  
pp. 45-45
Author(s):  
Martin Rylance

Communication and prediction are symmetrical. Communication, in effect, is prediction about what has happened. And prediction is communication about what is going to happen. Few industries contain as many phases, steps, and levels of interface between the start and end product as the oil and gas industry—field, office, offshore, plant, subsea, downhole, not to mention the disciplinary, functional, managerial, logistics handovers, and boundaries that exist. It therefore is hardly surprising that communication, in all its varied forms, is at the very heart of our business. The papers selected this month demonstrate how improved communication can deliver the prediction required for a variety of reasons, including safety, efficiency, and informational purposes. The application of new and exciting ways of working, partially accelerated by recent events, is leading to breakthrough improvements on all levels. Real-time processing, improved visualization, and predictive and machine-learning methods, as well as improvements in all forms of data communication, are all contributing to incremental enhancements across the board. This month, I encourage the reader to review the selected articles and determine where and how the communication and prediction are occurring and what they are delivering. Then perhaps consider performing an exercise wherein your own day-to-day roles—your own areas of communication, interfacing, and cooperation—are reviewed to see what enhancements you can make as an individual. You may be pleasantly surprised that some simple tweaks to your communication style, frequency, and format can deliver quick wins. In an era of remote working for many individuals, it is an exercise that has some value. Recommended additional reading at OnePetro: www.onepetro.org. OTC 30184 - Augmented Machine-Learning Approach of Rate-of-Penetration Prediction for North Sea Oil Field by Youngjun Hong, Seoul National University, et al. OTC 31278 - A Digital Twin for Real-Time Drilling Hydraulics Simulation Using a Hybrid Approach of Physics and Machine Learning by Prasanna Amur Varadarajan, Schlumberger, et al. OTC 31092 - Integrated Underreamer Technology With Real-Time Communication Helped Eliminate Rathole in Exploratory Operation Offshore Nigeria by Raphael Chidiogo Ozioko, Baker Hughes, et al.


Author(s):  
Sorin Alexandru Gheorghiu ◽  
Cătălin Popescu

The present economic model is intended to provide an example of how to take into consideration risks and uncertainties in the case of a field that is developed with water injection. The risks and uncertainties are related, on one hand to field operations (drilling time, delays due to drilling problems, rig failures and materials supply, electric submersible pump [ESP] installations failures with the consequences of losing the well), and on the other hand, the second set of uncertainties are related to costs (operational expenditures-OPEX and capital expenditures-CAPEX, daily drilling rig costs), prices (oil, gas, separation, and water injection preparation), production profiles, and discount factor. All the calculations are probabilistic. The authors are intending to provide a comprehensive solution for assessing the business performance of an oil field development.


Author(s):  
Grethe O. Ose ◽  
Trygve J. Steiro

Abstract Integrated operations (IO) is an ongoing change process in the oil and gas industry. New technological opportunities enable working in new ways that involve an integration of onshore and offshore personnel. This paper analyzes the results of two rounds of data gathering in an onshore drilling support center, in terms of the development of resilience. The first round took place in 2004/2005 and the second in 2012. This study presents a framework for the analysis of resilience and has used the case company as a mean of testing the framework. Our findings indicate that the support center has taken a huge step in the direction of becoming more resilient. The drilling company has tested a number of designs and sizes of support centers, each of which has different pros and cons. For the drilling discipline to develop resilience, it is essential that the number of rigs supported by a center is not too large, as they must not become involved in too many rigs and drilling operations. Our findings also indicate that the suggested framework provides a good overall picture of the development of resilience in the case company.


Author(s):  
Nguyen Thi Duc Nguyen ◽  
Le Tran Chinh

This study aims to: (1) Summarize the criteria for selecting 3PL Provider in supply chain management from literature review and apply these criteria to build the criteria model in choosing 3PL Provider for oilfield services company X for the purpose of expanding their market in the oil and gas industry and (2) Analyze, evaluate two 3PL Providers, along with a new 3PL Provider and suggest the strategy for selecting the suitable 3PL Provider to meet the specific requirements from company X. By arranging in-depth interviews with ten people with different positions, including Operation Manager, Supply Chain Manager, Logistics Manager, Base Manager and Logistics Specialist, along with AHP approach and expert choice 11.0 software support in collecting, processing and synthesizing data to evaluate and determine the appropriate 3 PL Provider for company X. In this study, three 3PL Providers have been chosen for analyzing and evaluating – 3PL Providers A, B, and C. The final results demonstrate that there are six main criteria and 13 sub-criteria in choosing 3PL Provider for oilfield services company X. The six main criteria are Performance, Price, Services, Quality assurance, IT system and Intangible values. The results and hypothetical situations have also been presented and discussed again with the expert logistics group to get their feedback about the practicability of the built model. The expert logistics group has agreed that the built criteria model and results are appropriate and adequate for evaluating and selecting a suitable 3PL Provider from the company’s specific demands. Consequently, this study can also be applied for similar purposes in other companies and shipping agents who need to work with outsourcing logistics services in oil and gas industry by using this built criteria model and synthesis results to find out the right decision for selecting 3PL Provider.


2020 ◽  
Vol 8 (5) ◽  
pp. 2582-2586

Automation and control systems are necessary throughout oil & gas industries, to production and processing plants, and distribution and retailing of petroleum products. Pipelines are the efficient mode of transportations of fuels for processing plants over long distances. At present Automation is achieved by using PLC’s that are communicated through SCADA. But it is complex and remote operation is not possible. With the introduction of IoT, the pipeline leak detection system is improved through real-time monitoring of the pipelines. Our Proposed system is designed to detect even small leakage that occurs within the pipeline. The implementation of IoT in oil and gas industries prevents accidents and to make quick decisions based on real-time data


2017 ◽  
pp. 87-90
Author(s):  
P. V. Smirnov ◽  
L. V. Taranova

The paper reviews the possibilities of using of silicon opal-cristobalite rocks (diatomite and opokas) in Western Siberiain industries associated with the production and transportation of hydrocarbons, oil field construction, environmental protection in the areas of intensive technogenic influence. Also the data is summarized on the possibility of their use for the production of proppants, adsorbents, additives in cement slurries.


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