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This paper describes a smart-tracer-portfolio testing and design solution for multistage hydraulic fracturing that will, write the authors, enable operators to reduce operating cost significantly and optimize production in shale wells. When it came to decide where to collect a critical sample of fractured rock, a new method for turning microseismic data into a heat map designed to display the most intense fracturing activity was considered. Partitioning interwell tracer tests (PITTs) have been used to estimate remaining oil saturations (ROSs) during waterflooding. This paper reviews the design and implementation of a full-field interwell tracer program for a giant onshore oil field in Abu Dhabi. The surge in unconventional completions has created a substantial accumulation of previously hydraulically fractured wells that are candidates for hydraulic refracturing.
The basic objective of this course is to introduce the overview and concept of production optimisation, using nodal analysis as a tool in production optimisation and enhancement. The participants are exposed to the analysis of various elements that help in production system starting from reservoir to surface processing facilities and their effect on the performance of the total production system. Depth conversion of time interpretations is a basic skill set for interpreters. There is no single methodology that is optimal for all cases. Next, appropriate depth methods will be presented. Depth imaging should be considered an integral component of interpretation. If the results derived from depth imaging are intended to mitigate risk, the interpreter must actively guide the process.
Since its inception in 1984, ADIPEC has provided an unrivalled platform for industry experts to come together and share knowledge and meet with peers. ADIPEC remains in the top 3 oil and gas events in the world welcoming delegates, visitors and exhibitors from across the globe. The multi-disciplinary conference is intended for international and regional oil and gas professionals, who are involved in both the technical and non-technical functions within the industry. The Emirate of Abu Dhabi boasts an extensive selection of business and leisure facilities including a state-of-the-art convention centre, a championship golf course and a vast selection of luxurious hotels and spas. The grand shopping malls and indigenous souqs make for an exceptional shopping expedition while culinary indulgence is never far with a wide range of cafes and restaurants.
The Abu Dhabi International Petroleum Exhibition and Conference (ADIPEC) provides an unrivalled global platform for oil and gas professionals. The world-renowned conference programme educates, provides knowledge transfer, and offers unparalleled networking opportunities. The Abu Dhabi International Petroleum Exhibition and Conference (ADIPEC) provides an unrivalled global platform for oil and gas professionals. The world-renowned conference programme educates, provides knowledge transfer, and offers unparalleled networking opportunities. Extend your influence as part of an exceptional Technical Programme Present your technical knowledge and experience globally to industry colleagues Raise your company’s technical profile at a prestigious industry event.
The $20.7-billion agreement is the single-largest energy infrastructure investment in the region. Hear first-hand from the first-ever Cheif Technology Officer at the Abu Dhabi National Oil Company, Alan Nelson, about the integrated operator's digital transformation strategy. The companies will focus on research and development to reduce CO2 emissions and promote the circular economy. ADNOC’s drilling subsidiary has increased its rig fleet to 95 and plans to add “dozens” more by 2025. The upgrade project will increase the maturing field’s oil production to 485,000 B/D.
Fiber-optic technologies—distributed temperature sensing and distributed acoustic sensing—have been experiencing an ever-increasing number of applications in the oil and gas industry as monitoring systems. This paper covers the 7-year history of drilling-fluids application in a reservoir drilling campaign offshore Abu Dhabi, from the early use of a solids-free, brine-/water-based mud to the recent application of nondamaging, nonaqueous fluids (NAFs) with micronized acid-soluble ilmenite. This study focus on the design and evaluation of a customized water-based mud (NP-WBM) using silica oxide nanoparticles (SiO2-NPs) and graphene oxide nanoplatelets (GNPs). Recent research has put extensive focus on the magic of graphene in drilling fluids. Graphene, because of its thermal, electrical, chemical, and mechanical properties, improves mudcake stability and minimizes fluid loss that eventually reduces formation damage.
Khan, Abid (NED University of Engineering & Technology, Pakistan) | Tjåland, Egil (Norwegian University of Science & Technology, Norway) | Kleppe, Jon (Norwegian University of Science & Technology, Norway) | Lodi, Sarosh (NED University of Engineering & Technology, Pakistan)
Pakistan requires intensive exploration activities and rapid development of its indigenous oil and gas resources. A well trained professional human resource, equipped with modern tools and skills, is essentially required. To achieve this, the Norwegian Centre of Excellence for Petroleum Studies (NCEPS) at NED University was established through collaborative efforts of NED University of Engineering & Technology (NEDUET) Pakistan and Norwegian University of Science & Technology (NTNU) Norway, in close cooperation with Petroleum Industry, under the umbrella of Pak-Norway, Institutional Cooperation Program.
The establishment of NCEPS included a six-pronged approach for capacity building of Petroleum Engineering Department at NEDUET. These included: i) post graduate studies and training programs for faculty members and laboratory staff, ii) strengthening of laboratory and office resources, iii) development of Master program, iv) transfer of technology, v) initiation of collaborative research, and vi) development of linkages between the two universities and the petroleum industry.
The main objective was achieved through capacity building of academic staff and strengthening of laboratory facilities at NED Universities. Among faculty members, four received master's degree, three were trained on latest teaching techniques, two received capacity building in research and five laboratory engineers were trained on laboratory equipment handling and operation. It also included a special training on drilling simulator at Abu Dhabi. Strengthening of laboratory resources have been undertaken through procurement of state-of-the-art research equipment. Master's program was also developed in collaboration with NTNU and industry. Transfer of latest teaching techniques has been acquired. A video conferencing facility was also developed to provide effective communication and learning opportunities. Sustainable linkages between academia and industry were enhanced.
The petroleum engineering department shows significant improvement in providing quality education, professional training and industry-oriented research. The experience was shared with other institutions in the country. Sustainable linkages have been developed between the two universities and the industry. This paper provides details of these tri-partite collaborative efforts.
Al Selaiti, Iman (ADNOC) | Mata, Carlos (ADNOC) | Saputelli, Luigi (ADNOC) | Badmaev, Dorzhi (ADNOC) | Alatrach, Yara (ADNOC) | Rubio, Erismar (ADNOC) | Mohan, Richard (ADNOC) | Quijada, Daniel (Frontender Corporation)
Asset management success is accomplished when the integrated production system is operating close to its intended potential. Continuous awareness of wells and facility conditions are key factor in the realization of designed capacity. In contrast, unknown status and conditions can severely limit production capacity.
The rise of instrumentation technologies over the last four decades have created new opportunities to understand well and reservoir behavior. However, despite of being proved as a cost-effective surveillance initiative, remote monitoring is still not adopted in over 60% of oil and gas fields around the world. Understanding the value of data through machine learning techniques is the basis for establishing a robust surveillance strategy.
The objective of this paper is to develop a data-driven approach, enabled by Artificial Intelligence (AI) methodologies including machine learning (ML), to find optimal operating envelope for gas-lift wells. The process involves building ML models for generating instantaneous predictions of multiphase flow rates and other quantities of interest, such as GOR, WCT, using real-time sensor data at the surface, historical performance, and sporadic test data.
Additionally, forecasting models were developed for generating short-term (30 days) forecast of cumulative oil, water, gas, and liquid production, multiphase flow rates, WCT, GOR, and reservoir pressure. Using time-series forecasting models, a sensitivity analysis was performed to generate short-term well response for a selected number of combinations of choke settings, and gas injection rates. Sensitivity analysis provides 2D maps of well response highlight an operating envelope, which are proposed to be combined with physical and operational constraints to arrive at optimal operating conditions, which may effortlessly add 2.5% net profit from optimum gas-lift alocation.
The results of this work show encouraging results, and demonstrate value that AI-enabled methodologies can provide in instrumented wells by enabling automated workflows for virtual metering, production allocation, short-term production forecasting, and deriving optimal operating conditions. The developed AI methodology has tremendous potential of integration in an end-to-end workflow of autonomous well control by utilizing available data to produce easy to update ML models, with little to no human intervention.
Take Back Control of Your Capital Project with an EPC 4.0 Strategy Stratigraphical - Sedimentological Framework for the Thamama Group Development in the Western UAE Based on the Legacy Core Data: How the Key to the Future is Found in the Past. Ultra-deep Resistivity Technology as a Solution for Efficient Well Placement; Geosteering and Fluid Mapping to Reduce Reservoir Uncertainty and Eliminate Pilot Hole-first Time in Offshore Abu Dhabi, UAE. Performance Comparison of two different in-house built virtual metering systems for Production Back Allocation. The Energy Transition, Lessons Learned from Other Heavy Industries and the Opportunities they Present for Oil and Gas Operators Demonstrated by Associated Case Studies. How To Meet Operational Challenges In An Extreme VUCA Environment By Adaptive Process Control.