The SPE has split the former "Management & Information" technical discipline into two new technical discplines:
- Management
- Data Science & Engineering Analytics
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The SPE has split the former "Management & Information" technical discipline into two new technical discplines:
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Enhance your expertise and stay up-to-date on best practices in a dynamic industry with live, instructor-led courses or convenient online learning. Continuing Education credits (CEUs) are available for most courses - see catalog for details. Discounted fees available for SPE members. Submit Your Ideas SPE is always looking for new training course ideas, particularly in the areas of emerging technologies. Complete our online course proposal form, or contact us at trainingcourses@spe.org.
Enhance your expertise and stay up-to-date on best practices in a dynamic industry with live, instructor-led courses or convenient online learning. Continuing Education credits (CEUs) are available for most courses - see catalog for details. Discounted fees available for SPE members. SPE is always looking for new training course ideas, particularly in the areas of emerging technologies. Complete our online course proposal form, or contact us at trainingcourses@spe.org.
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Karacali, Ozgur (Schlumberger) | Ramcharan, Narindra (Schlumberger) | Sahadeo, Lorenzo (Schlumberger) | Holub, Chase (ExxonMobil) | Julien, Jenilee (ExxonMobil) | Sunarto, Hadantha (ExxonMobil) | Tong, Songyang (ExxonMobil)
Abstract This paper presents a dynamic deepwater well testing solution that was developed to execute consecutive well tests on multiple reservoirs of various parameters and complexities and describes the design, planning, application, and benefits of the batch well testing package. Batch well testing has the potential to optimize well testing operations, improve equipment utilization, reduce operator costs, and obtain significant amounts of dynamic reservoir data quickly for field development and facility design. Esso Exploration and Production Guyana Limited (EEPGL), ExxonMobil's Guyana affiliate, and its co-venturers had a challenging objective to complete several deepwater development projects at an accelerated pace in the Stabroek block of Guyana, which required the acquisition of an extensive amount of dynamic reservoir data and representative fluid samples. The data and reservoir samples were required to inform creation of field development plans and to drive a fit-for-purpose floating, production, storage, and offloading vessel (FPSO) and topside designs. This led to an extensive well test program utilizing existing predrilled appraisal wells that were conditioned and prepared for well testing. This was enhanced by a dedicated drillship equipped with a surface well test package to test all commercial discoveries consecutively. Extensive laboratory tests were performed on reservoir samples collected during wireline sampling to help determine operating parameters for each well test and identify mitigation measures to be employed, alleviating potential flow assurance risks such as wax deposition, asphaltene breakout, and hydrates. The reservoir fluid studies conducted on the wireline samples also helped to create specific fluid identifications for the multiphase meter to increase accuracy of flow rates and fluid composition during well testing. The surface well testing package installed on the rig was optimized to efficiently process a range of fluid types form high gas-oil ratio oil to black oil wells with high flow rates. Testing multiple deepwater wells successively involved precise planning and a robust maintenance plan between wells. A dedicated rig for batch well testing resulted in significant cost synergies for the operator, enabled precise planning, streamlined onshore and offshore maintenance, and assisted supply chain management to ensure equipment availability and performance reliability for the continuous program. This paper highlights the industry record implementation of a batch well testing program, an industry first in this operating environment, that was designed to be executed for seven wells and that enabled the delivery of high-quality reservoir data from multiple differentiated deepwater reservoirs quickly in support of the operator's potential growth plans. The program was completed with zero spills to the environment.
Zuo, Wenyu (University of Houston/ Subsea Systems Institute) | Allen, John (University of Houston/ Subsea Systems Institute / Society of Underwater Technology) | Dabney, James B (University of Houston Clearlake/ Society of Underwater Technology) | Krishnamoorti, Ramanan (University of Houston/ Subsea Systems Institute)
Abstract There is an increasing demand for robotics systems in production, inspection, and maintenance in the energy industry from offshore to onshore, to reduce operating costs and lower the risk of exposing humans to hazardous environments. However, a gap exists between existing workforce expertise and technologies that are developing rapidly. The deployment of robots requires the engineer to have rich experience in production and sufficient understanding of the robotic multidisciplinary system so they can identify and deploy the robot in the use case that can maximize the robot's efficiency. The nature of robotics and automation presents a challenge to the workforce since the existing workforce's background, in specific engineering disciplines or business, hinders them from adapting and then keeping up with the transition to robotic (not normally manned) operations. Directed by the University of Houston, the Subsea Systems Institute (SSI) is developing, in collaboration with Sprint Robotics, the National Robotarium (UK) and the Society of Underwater Technology (SUT), a robotic training program. The objective is to upskill and reskill the energy industry personnel (offshore and onshore) to meet the emerging industry demand for multidisciplinary robotics expertise. This group is collaborating to fill the gap between required knowledge and application in the energy industry by identifying the necessary knowledge and skillsets, and then developing an adaptable modular program with use cases to train the existing workforce. The SSI led effort will adjust to the differing needs that drive the adoption of this evolving technology, including engineers and scientists and other stakeholders such as managers, influencers, and the public.
Upon completion of this module, the participant should be able to select candidate wells for testing and specify test objectives, design a pressure transient test and select equipment in keeping with the stated objectives, and monitor the test and interpret the results. This online training course is categorized under the Production and Operations discipline.
Petrophysics, the study of rock-fluid systems, relates the physical parameters measured by well logging tools to actual reservoir porosity, permeability and fluid saturation. Presents the commonly used logging tools--SP, gamma ray, resistivity and porosity--and their characteristics and functions. Examines the interaction of rocks and fluids in both static and dynamic situations.