Abu Dhabi, United Arab Emirates
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Kumar J.,Abu Dhabi Marine Operating Company | Agrawal P.,Abu Dhabi Marine Operating Company | Draoui E.,Abu Dhabi Marine Operating Company
SPE Reservoir Evaluation and Engineering | Year: 2017

Hydrocarbon-gas injection is one of the most widely applied processes in the oil industry and is a promising enhanced-oil-recovery (EOR) method for use in Middle East carbonate oil fields. Gas injection improves the microscopic-displacement efficiency and generally acts as pressure maintenance; however, unfavorable mobility ratio can negatively affect the ultimate recovery because of viscous fingering and gravity override. This paper describes two gas-injection pilots that have been implemented in offshore Middle East carbonate reservoirs: a secondary and a tertiary gas injection through line drive to assess injectivity, productivity, macroscopic-sweep efficiency, flow assurance, and operational efficiency in a field that has a long water-injection history. A strong monitoring plan, including an observer well, was applied through time-lapse saturation logging, pressure measurements, production testing, and a tracer campaign to evaluate the pilot efficiency and address key uncertainties upfront before full-field application. This paper describes the pilot performance in the context of full-field development, local- and macroscopic-displacement efficiency, flow-assurance issues, and operational learnings. The gas-injection performance is strongly affected by reservoir heterogeneity, gravity segregation, and the existing pressure gradient, and the history match performed indicates near-miscible or miscible behavior depending upon local pressure regimes, which thus govern the ultimate recovery. The history match also shows that for the same pilot, performance can be further improved through water-alternating-gas (WAG) injection, resulting in a viable development scheme for full-field implementation. Copyright © 2017 Society of Petroleum Engineers.


Zhang X.,Abu Dhabi Marine Operating Company | Awotunde A.A.,King Fahd University of Petroleum and Minerals
Shiyou Kantan Yu Kaifa/Petroleum Exploration and Development | Year: 2016

In order to estimate reservoir parameters more effectively by history fitting, DE (Differential Evolution) was proposed to estimate the optimum damping factor so that the standard Levenberg-Marquardt algorithm was improved, and the improved algorithm was validated by analysis of examples. The standard LM algorithm uses trial-and-error method to estimate the damping factor and is less reliable for large scale inverse problems. DE can solve this problem and eliminate the use of line search for an appropriate step length. The improved Levenberg-Marquardt algorithm was applied to match the histories of two synthetic reservoir models with different scales, and compared with other algorithms. The results show that: DE speeds up the convergence rate of the LM algorithm and reduces the residual errors, making the algorithm suitable for not only small and medium scale inverse problems, but also large scale inverse problems; if the iteration termination criteria of LM algorithm is preset, the improved algorithm will save the number of iterations and reduce the total time greatly needed for the LM algorithm, leading to higher efficiency of history matching. © 2016, The Editorial Board of Petroleum Exploration and Development. All right reserved.


ABU DHABI, United Arab Emirates, Nov. 7, 2016 /PRNewswire/ -- Huawei and the Abu Dhabi Marine Operating Company (ADMA-OPCO), a major producer of oil and gas from the offshore areas of the Emirate of Abu Dhabi, today jointly announced that ADMA-OPCO's Cloud Ready Data Center is now fully...


ABU DHABI, United Arab Emirates, Nov. 7, 2016 /PRNewswire/ -- Huawei and the Abu Dhabi Marine Operating Company (ADMA-OPCO), a major producer of oil and gas from the offshore areas of the Emirate of Abu Dhabi, today jointly announced that ADMA-OPCO's Cloud Ready Data Center is now fully operational at the Huawei Global Energy Summit 2016 in Abu Dhabi, United Arab Emirates (UAE). The Cloud Ready Data Center is expected to help ADMA-OPCO address the needs of long-distance transmission and processing of a massive volume of data during offshore oil exploration and production. The Cloud Ready Data Center will also enhance the security of critical business data and applications for ADMA-OPCO. As one of the largest offshore oil and gas companies in the Gulf region, ADMA-OPCO is responsible for the production and exploration of a number of offshore oilfields in Abu Dhabi, producing several hundred thousands of barrels of oil per day. With the expansion of their businesses, ADMA-OPCO plans to upgrade its three data centers into a future-oriented cloud data center by integrating existing IT systems, so as to improve IT resource utilization and service response capability. This would allow ADMA-OPCO to cope with the rapid growth of data volumes and reduce the operating costs of data centers. Huawei has facilitated ADMA-OPCO to construct a cloud data center based on the Information Technology Infrastructure Library (ITIL) standards, which integrates the core architectures of data center management to implement a centralized management of both cloud and non-cloud data centers. The Cloud Ready Data Center features centralized IT resources, as well as collaborative management of blade servers, and storage and network equipment, realizing automatic provisioning of computing resources and scalable cloud data services required to support future-proof smooth capacity expansion. As a security mechanism, geographic disaster redundancy between two sites 200 km apart is implemented to ensure zero loss of key data generated by Enterprise Resource Planning (ERP), Oracle, and email systems. Speaking at the launch ceremony, Dr. Alaeddin Al-Badawna, ADMA-OPCO's Chief Information Officer, said: "The Cloud Ready Data Center we built with Huawei supports seamless integration with our existing infrastructure, which maximizes our IT operation efficiency, optimizes IT resource management, and boosts IT resource utilization. We are expected to see a 30% drop in the operation and maintenance (O&M) costs of the data center. Virtualization-based cloud computing can ensure high service continuity and greatly facilitate our business expansion. In addition, Huawei's geographic disaster redundancy technology provides enhanced security for our key business data and applications." He Tao, President of Huawei Middle East Enterprise Business Dept, said: "Huawei has worked closely with ADMA-OPCO's to clearly understand their requirements and provide an end-to-end overall cloud data center solution to build a simplified, open, and elastic data center for ADMA-OPCO. This Cloud Ready Data Center will support more flexible services and applications, helping ADMA-OPCO excel in the fierce market competition. The commercial rollout of this Cloud Ready Data Center is a testament to Huawei's understanding of the specific needs of this particular business and positions Huawei as a leader among data center solution providers for global high-end oil and gas customers, as well as accelerate Huawei's technological influence in this area and more." Since 2002, Huawei has started to provide data center integration services and solutions for customers. The company has over 14 years of experience in the research and development, delivery, and O&M of data center solutions. Innovative architectures and solutions developed by Huawei include the distributed cloud data center (DC2) architecture, private cloud data center, public cloud data center, service continuity and disaster redundancy, data center management solution ManageOne, and data center consolidation and migration. As of August 2016, Huawei has helped global customers in various industries deploy more than two million virtual machines and 830 data centers, including 420 cloud data centers. Huawei is a leading global information and communications technology (ICT) solutions provider. For more information, please visit Huawei online at www.huawei.com or follow us on:


ABU DHABI, United Arab Emirates, Nov 7, 2016 /PRNewswire/ -- Huawei and the Abu Dhabi Marine Operating Company (ADMA-OPCO), a major producer of oil and gas from the offshore areas of the Emirate of Abu Dhabi, today jointly announced that ADMA-OPCO's Cloud Ready Data Center is now fully operational at the Huawei Global Energy Summit 2016 in Abu Dhabi, United Arab Emirates (UAE). The Cloud Ready Data Center is expected to help ADMA-OPCO address the needs of long-distance transmission and processing of a massive volume of data during offshore oil exploration and production. The Cloud Ready Data Center will also enhance the security of critical business data and applications for ADMA-OPCO. As one of the largest offshore oil and gas companies in the Gulf region, ADMA-OPCO is responsible for the production and exploration of a number of offshore oilfields in Abu Dhabi, producing several hundred thousands of barrels of oil per day. With the expansion of their businesses, ADMA-OPCO plans to upgrade its three data centers into a future-oriented cloud data center by integrating existing IT systems, so as to improve IT resource utilization and service response capability. This would allow ADMA-OPCO to cope with the rapid growth of data volumes and reduce the operating costs of data centers. Huawei has facilitated ADMA-OPCO to construct a cloud data center based on the Information Technology Infrastructure Library (ITIL) standards, which integrates the core architectures of data center management to implement a centralized management of both cloud and non-cloud data centers. The Cloud Ready Data Center features centralized IT resources, as well as collaborative management of blade servers, and storage and network equipment, realizing automatic provisioning of computing resources and scalable cloud data services required to support future-proof smooth capacity expansion. As a security mechanism, geographic disaster redundancy between two sites 200 km apart is implemented to ensure zero loss of key data generated by Enterprise Resource Planning (ERP), Oracle, and email systems. Speaking at the launch ceremony, Dr. Alaeddin Al-Badawna, ADMA-OPCO's Chief Information Officer, said: "The Cloud Ready Data Center we built with Huawei supports seamless integration with our existing infrastructure, which maximizes our IT operation efficiency, optimizes IT resource management, and boosts IT resource utilization. We are expected to see a 30% drop in the operation and maintenance (O&M) costs of the data center. Virtualization-based cloud computing can ensure high service continuity and greatly facilitate our business expansion. In addition, Huawei's geographic disaster redundancy technology provides enhanced security for our key business data and applications." He Tao, President of Huawei Middle East Enterprise Business Dept, said: "Huawei has worked closely with ADMA-OPCO's to clearly understand their requirements and provide an end-to-end overall cloud data center solution to build a simplified, open, and elastic data center for ADMA-OPCO. This Cloud Ready Data Center will support more flexible services and applications, helping ADMA-OPCO excel in the fierce market competition. The commercial rollout of this Cloud Ready Data Center is a testament to Huawei's understanding of the specific needs of this particular business and positions Huawei as a leader among data center solution providers for global high-end oil and gas customers, as well as accelerate Huawei's technological influence in this area and more." Since 2002, Huawei has started to provide data center integration services and solutions for customers. The company has over 14 years of experience in the research and development, delivery, and O&M of data center solutions. Innovative architectures and solutions developed by Huawei include the distributed cloud data center (DC2) architecture, private cloud data center, public cloud data center, service continuity and disaster redundancy, data center management solution ManageOne, and data center consolidation and migration. As of August 2016, Huawei has helped global customers in various industries deploy more than two million virtual machines and 830 data centers, including 420 cloud data centers. Huawei is a leading global information and communications technology (ICT) solutions provider. For more information, please visit Huawei online at www.huawei.com or follow us on: To view the original version on PR Newswire, visit:http://www.prnewswire.com/news-releases/huawei-jointly-completes-the-launch-of-a-cloud-ready-data-center-with-uaes-largest-offshore-oil-producer-adma-opco-300358214.html


Khalaf A.M.,Abu Dhabi Marine Operating Company | Seibi A.C.,The Petroleum Institute
Engineering Failure Analysis | Year: 2011

Tube collapse due to heating of a trapped fluid in confined annuli has become a major concern in production wells and lubrication systems in gas turbines. This is due to the fact that tubes subjected to external pressure developed by fluid heating can generate catastrophic consequences that may lead to the damage of major equipment in the field, which in turn can have a great impact on the production. This paper, therefore, presents a case study of lube oil feed tube collapse of a gas turbine due to pressure build-up caused by fluid heat-up in trapped annulus of the failed tube. A conduction/convection thermal analysis of the tube and its surrounding environment was performed using MATLAB where the obtained results were used in finite element modeling to determine the required buckling pressure of the tube. ANSYS finite element package was used to conduct the stress analysis of the tube subjected to external pressure mimicking the real situation from which the required collapse pressure of the tube was obtained. In addition, an analytical thermal analysis was performed to acquire the build-up pressure at various typical temperatures of the trapped oil in the annulus. The collapse pressure obtained from the finite element analysis was used to estimate the temperature causing failure from the pressure-temperature chart obtained analytically. It was found that the collapse pressure is 125. MPa (18. ksi) which corresponds to 160 °C temperature rise in the annulus. This temperature represents a typical operating condition in the field. © 2011 Elsevier Ltd.


Al-Masabi F.H.,Abu Dhabi Marine Operating Company | Al-Masabi F.H.,United Arab Emirates University | Castier M.,United Arab Emirates University
International Journal of Greenhouse Gas Control | Year: 2011

The modeling and simulation of the absorption of dilute CO2 into falling film of aqueous solutions of a sterically hindered amine, 2-amino-2-methyl-1-propanol (AMP), was carried out using COMSOL Multiphysics Version 3.3. The operating cases were divided in gas turbine cases (CO2 3mol%) and boiler cases (CO2 8.5mol%). The key operating parameters for the studied cases are CO2 partial pressure, operating temperature and amine concentration in the aqueous solution. The simulation focused on: (1) CO2 loading in aqueous AMP solution; (2) contact time to reach equilibrium; (3) pH of rich AMP aqueous solution; and (4) total required interfacial area/circulated AMP aqueous solution. The modeling was validated by comparison with experimental results for CO2 loading available in the literature, with deviations below 4%. High operating pressure, low operating temperature, and low AMP aqueous concentration increase CO2 loading. The compression need for gas turbine flue gas was found to be higher than for boiler flue gas. The pH of rich AMP aqueous solution at maximum CO2 loading was 8. The needed contact time to reach equilibrium decreases with temperature increases. The results were utilized to estimate the lower bound to the size of structured packed columns to absorb CO2 from flue gases. © 2011 Elsevier Ltd.


Al-Issa A.,Abu Dhabi Marine Operating Company
Society of Petroleum Engineers - Abu Dhabi International Petroleum Exhibition and Conference 2012, ADIPEC 2012 - Sustainable Energy Growth: People, Responsibility, and Innovation | Year: 2012

Whilst best-in-class automation has been put place in industrial plants during the past few years, brought about by the developments in Industrial Control Systems (ICS), the industry has become vulnerable to new types of industrial risks. The Distributed Control Systems (DCS), Safety Instrumented Systems (SIS), Fire and Gas Systems (F&G), SCADA Systems, etc that were put in place are essentially computer systems and became the source of concern as these have become intentional targets to hackers, espionage and blackmailers. The cyber security threat to process control networks and systems was also increasing with successful industrial attacks taking place. Integrated operations in exploration, drilling, processing, refining and almost all oil and gas process operations are using such systems. The Digital Oil Field (DOF) vision materialized as a result of the advances in the application of automation, remote control, real-time data acquisition, and the enablement of collaborative work environments. This vision essentially raised the need to integrate the process control systems with corporate business networks. This has led to the vital need to put in place a robust industrial cyber security infrastructure. This paper will discuss: • A first of its kind cyber defense infrastructure design for protecting the Digital Oil Fields and Critical Infrastructures from Cyber attacks. • The importance of developing the integrated systems design concepts incorporating at its core the ICS Security by design. • The value of engaging digital security specialists at the Front End Engineering Development (FEED) stage in Digital Oil Field projects. Copyright 2012, Society of Petroleum Engineers.


Khan M.N.,Abu Dhabi Marine Operating Company | Felix Menchaca T.,Abu Dhabi Marine Operating Company
SPE Middle East Oil and Gas Show and Conference, MEOS, Proceedings | Year: 2015

The technological advances in oil and gas industry are enabling the operating companies to monitor their hydrocarbon reservoirs closely. Today reservoir surveillance engineers are able to acquire more well/reservoir performance data than in the past. Multi-Phase Flow Metering is an expedient addition in production testing domain. As per the recent statistics, globally, approximately 4000 Multi-Phase Flow Meters (MPFM) installations are providing reliable measurements under different applications. As with any new technology the philosophy behind MPFM measurements is blurry for many users, who find difficulty establishing and implementing the appropriate data validation workflows on the MPFM data. The conventional production test data validation approach can be applied to the MPFM measurements up to a certain extent, but in order to find the source of discrepancies in MPFM data, additional processes are required to be included in the workflow. The production history of the majority of hydrocarbon reservoirs in the world was built on conventional test separator flow rate data. Introducing a new measurement technology with different set of accuracies and different working principles has been a challenge for the production data users. To standardize the data validation process, a systematic approach can be implemented to validate the production testing data from different sources, which not only will help the end users to gain confidence in MPFM flow measurements but also will assist identifying the sources of discrepancy in MPFM measurements during day to day operations. This paper will explain the stepwise data validation approach that can benefit different production test data users in oil and gas industry. Copyright 2015, Society of Petroleum Engineers.


Kumar J.,Abu Dhabi Marine Operating Company | Draoui E.,Abu Dhabi Marine Operating Company | Takahashi S.,Japan Oil, Gas and Metals National Corporation
Society of Petroleum Engineers - SPE EOR Conference at Oil and Gas West Asia, OGWA 2016 | Year: 2016

Carbon dioxide (CO2) injection is considered to be a viable option for enhanced oil recovery (EOR) and has already been implemented commercially for more than 40 years. However, the applications are limited to onshore and offshore application for EOR activities have not yet been implemented. This paper presents the subsurface evaluation using laboratory experiments (PVT and corefloods) and compositional modeling, the design and surveillance program of a CO2 pilot project planned in a carbonate reservoir located offshore Abu Dhabi. PVT and coreflood experiments demonstrate the local displacement efficiency of CO2 in tertiary mode due to gas-oil miscibility, swelling of oil and reduction in oil viscosity. The screening study performed using a tuned equation of state (EOS) predicts significant additional recovery in a previously waterflooded area. A pilot is planned in one of the reservoirs of the field, which has 40 years of peripheral seawater injection history. The pilot design is influenced by existing peripheral pressure gradient, and is located down-dip in the field that covers approximately 80 acres. The pilot location is selected based on geology, reservoir quality, maturity to waterflood and surface facility constraints. A comprehensive reservoir surveillance plan, including one to two observers well, is developed to monitor pilot performance. The planned pilot will reduce uncertainties and risk associated with CO2 injection and address bottleneck uncertainties in an offshore environment before large-scale application. The first offshore CO2 injection pilot is designed for implementation in a tertiary mode in a giant carbonate field, which is still under secondary recovery production, to minimize interaction with current production and impact on surface facility. The paper also presents the possible mitigation for various challenges identified like asphaltene, scaling, corrosion, impact on existing carbon steel well completion, etc. associated with CO2 injection. The methodology and technical analysis used to evaluate and design the CO2 pilot are applicable to other potential fields in the region. Copyright 2016, Society of Petroleum Engineers.

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