participant

This course will help develop a solid foundation in all forms of lift and the concepts of the selection process to maximize production and return on investment. Half Day or 1 Day (The course length may be adjusted to meet the learning level of the target audience.) This class helps ensure a broad view of artificial lift, particularly when in-house expertise is limited to one-or two-lift systems. This course is for production and field operations engineers, junior and senior petroleum engineers and field technicians as well as geoscientists and reservoir engineers who wish to understand the implications of production systems on their field reservoirs. CEUs (Continuing Education Units) are awarded for this half-day or 1-day course.

artificial lift system, asia government, Chokshi, discipline, Engineer, half day, India government, operation, participant, reservoir, SPE, Upstream Oil & Gas

Country: Asia > India (0.17)

Genre: Instructional Material > Course Syllabus & Notes (1.00)

Industry: Energy > Oil & Gas > Upstream (1.00)

SPE Disciplines:

Production and Well Operations > Artificial Lift Systems (1.00)
Management > Professionalism, Training, and Education (0.87)

Technology: Information Technology (0.33)

reservoir-simulation-energy-transition-application-using-open-source-darts-framework

In this course, participants will learn how to perform a reservoir simulation of various Energy Transition applications using the opensource Delft Advanced Research Terra Simulator (DARTS). The primary focus and developed capabilities of DARTS include a multicomponent multiphase flow of mass and heat with chemical interactions. Advanced multiscale nonlinear formulation and adjoint capabilities improve the run-time performance which makes DARTS a perfect choice for inverse modeling. This workshop will start with a simple 1D homogeneous geothermal model and describe the basic capabilities of the DARTS simulation engine. Next, we will present a realistic heterogeneous model for CCS application with advanced modeling and post-processing capabilities.

application, darts, europe government, Modeling & Simulation, netherlands government, participant, reservoir simulation, social responsibility, sustainability, sustainable development, tu delft, Upstream Oil & Gas, Voskov, Workshop

Country: Europe > Netherlands > South Holland > Delft (0.30)

Genre: Instructional Material > Course Syllabus & Notes (1.00)

Industry: Energy > Oil & Gas > Upstream (1.00)

SPE Disciplines:

Reservoir Description and Dynamics > Reservoir Simulation (0.76)
Data Science & Engineering Analytics > Information Management and Systems (0.74)
Health, Safety, Environment & Sustainability > Sustainability/Social Responsibility > Sustainable development (0.64)
Management > Professionalism, Training, and Education (0.52)

Technology:

Information Technology > Modeling & Simulation (0.64)
Information Technology > Software (0.52)

data-analytics-artificial-lift

In this hands-on course, the participants will learn some of the techniques and workflows applied to artificial lift and production while reviewing code and practicing. The focus will be on the development of data-driven models while reviewing the underlying artificial lift principles. After introducing data science and analytics techniques, the course will discuss some business use cases that are amenable to data-driven workflows. Two or three problems will be presented during the training. For each case there will be a demonstration of the solution of such a problem using a data analysis technique with Python code deployed in the Google-cloud.

Artificial Intelligence, artificial lift system, asia government, Chokshi, data mining, discipline, Engineer, India government, operation, participant, Patrick, Samsung, SPE, University, Upstream Oil & Gas, workflow

Country: Asia > India (0.16)

Genre: Instructional Material > Course Syllabus & Notes (1.00)

Industry: Energy > Oil & Gas > Upstream (1.00)

SPE Disciplines:

Production and Well Operations > Artificial Lift Systems (1.00)
Data Science & Engineering Analytics > Information Management and Systems > Data mining (0.40)
Data Science & Engineering Analytics > Information Management and Systems > Artificial intelligence (0.33)

Technology:

Information Technology > Data Science (1.00)
Information Technology > Artificial Intelligence (1.00)

Gas & Oil Technology Showcase and Conference

Uplifting Engineer's Competency for Unlocking Asset Value in The Energy Transition Era: Cross-Organizational Knowledge Sharing Management System

Yonebayashi, Hideharu (Japan Oil Development Co.,Ltd.) | Matsubuchi, Hitoshi (Japan Oil Development Co.,Ltd.) | Shoukry, Medhat (Japan Oil Development Co.,Ltd.) | Al Marzouqi, Adel Abdul Rahman (ADNOC Offshore) | Abdesalam Elmansouri, Mohamed Elhassan (ADNOC Offshore) | Al Remeithi, Hamda Mohamed (ADNOC Offshore) | Eshbair, Ibrahim (ADNOC Offshore) | Kawahara, Hiroshi (INPEX CORPORATION)

OnePetroMarch, 2023

Abstract E&P technology in the energy transition era is more rapidly progressed because of various innovations from other industries, digital transformation, and broader knowledge sharing from other industrial sectors. Therefore, skills of engineers in frontline: namely employees in operating companies (OPCO) will have deeper impacts on project values. To uplift their technical competency, this paper discussed how to maximize leaning/training program values and provide the opportunities from long term perspective as a part of holistic talent development management system. In-house leaning/training courses and/or commercial training programs, which have been commonly provided, will not be sufficient for pursuing competitive level in future as long as the knowledge sharing opportunities are limited to in-house or generalized contents for maximum numbers of demand. Thus, the opportunities are unlimited by incorporating additional seminar/training courses, offered from stakeholders: an asset lead in particular, into the OPCO's youth development plan (YDP) to be more effectively provided from many viewpoints of participant adequateness (discipline, technical interest, maximum number of attendees), annual schedule planning, and interactive feedback to improve the programs. INPEX/JODCO, an asset lead international oil company (IOC) responsibly developing concession of the Abu Dhabi offshore field, has been operating domestic oil/gas fields and an abroad giant LNG project, furthermore, managing various non-operating projects all over the world. From all the projects, therefore, many types of knowledge-sharing seeds have been gathered to prepare seminar/training contents and lecturers via the IOC's corporate technical division while taking OPCO's demands into account. Dozens of programs have been offered since 2018 for various disciplines. One of them: the JODCO Drilling Academy (JDA), providing total 61 courses as of November 2022 covering major drilling & completion related topics is recognized as the most successful contribution. A cycle from seminar planning, execution, feedbacks, and updating are established to work as a cross-collaborative talent development management system.

OnePetro

doi: 10.2118/214218-MS

SPE

SPE-214218-MS

asia government, attendee, communication, competency, cross-organizational knowledge, drilling academy, energy transition era, Engineer, inpex jodco, interaction, knowledge management, lecturer, OPCO, participant, uae government, unlocking asset value, uplifting engineer, Upstream Oil & Gas

Country:

Asia > Middle East > UAE > Abu Dhabi > Arabian Gulf (0.34)
Asia > Middle East > UAE > Abu Dhabi > Abu Dhabi (0.25)

Genre: Instructional Material > Course Syllabus & Notes (1.00)

Industry: Energy > Oil & Gas > Upstream (1.00)

Oilfield Places: Asia > Middle East > UAE > Abu Dhabi > Arabian Gulf > Rub' al Khali Basin > Abu Dhabi Field (0.99)

SPE Disciplines:

Management > Professionalism, Training, and Education > Communities of practice (1.00)
Data Science & Engineering Analytics > Information Management and Systems > Knowledge management (1.00)

Technology:

Information Technology > Knowledge Management (1.00)
Information Technology > Communications > Collaboration (1.00)

Journal of Petroleum TechnologyMarch, 2023

Recent Advancements and Future Challenges in Flow Assurance, Carbon Reduction, and Digitalization

Texas A&M University-Qatar in collaboration with the SPE Qatar Section and its affiliated bodies organized and conducted a 2-day workshop titled "Current Advancements and Future Challenges in Flow Assurance, Carbon Reduction, and Digitalization." The event was held virtually with the participation of more than 200 professionals associated with academia, research institutes, and industry from 23 countries. Over 2 days of intensive discussions, the participants exchanged knowledge and experience on the challenges confronting oil and gas industry in light of stakeholder concerns about the impact of fossil fuels on the global warming, the rapid evolution of alternative energy resources, and the impact of the COVID-19 pandemic on both energy demand and field operations. The participants agreed that demand for hydrocarbons will not disappear anytime soon, but concluded that the oil and gas industry needs substantial transformation from within and needs to embrace changes to maintain its position as the vital energy source worldwide. Demand for energy, including oil and gas, is increasing globally.

Journal of Petroleum Technology

Country:

Asia > Middle East > Qatar (0.45)
North America > United States > Texas (0.35)

Genre: Instructional Material (0.35)

Industry: Energy > Oil & Gas > Upstream (1.00)

SPE Disciplines:

Health, Safety, Environment & Sustainability > Sustainability/Social Responsibility > Sustainable development (1.00)
Health, Safety, Environment & Sustainability > Environment > Climate change (1.00)
Data Science & Engineering Analytics > Information Management and Systems (1.00)

Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.47)

Ibadat, Samrah (United Energy Pakistan)

Leadership Development for High Potential Employees

OnePetroMarch, 2023

Abstract The purpose of the paper is to outline the methodology and process that United Energy Pakistan adopted to develop and enhance the leadership capacity of its emerging talent that went on to assume leadership roles in the organization. It is imperative for the upkeep of talent and organizational culture that structured development journeys are designed and extended to high potential employees who can then take the organizational performance to new heights. The framework was designed to develop business focused, yet people centric leaders, equipped to manage operational as well as strategic aspects and deliver results. It is a structured leadership competency acceleration program with a rigorous monitoring mechanism. Although a 12 month long developmental journey comes with many benefits such as cross functional collaboration, networking, opportunity for reflection and practicing learned skills, however, the manageability and synchronization of schedules became an administrative challenge. The paper provides best practices and lessons learnt for leadership development that other organizations in the oil and gas sector may adopt to manage and maintain sustainable talent pools.

OnePetro

doi: 10.2118/213999-MS

SPE

SPE-213999-MS

Gas & Oil Technology Showcase and Conference

action learning project, asia government, high potential employee, key capability, knowledge management, le module focus, leadership development, leadership essential program, line manager, Pakistan Government, participant, personnel competence, Petroleum Engineer, uep, Upstream Oil & Gas

Country: Asia > Pakistan (0.26)

Industry:

Energy > Oil & Gas > Upstream (1.00)
Education (1.00)

SPE Disciplines:

Management > Professionalism, Training, and Education > Personnel competence (1.00)
Management > Professionalism, Training, and Education > Communities of practice (1.00)
Data Science & Engineering Analytics > Information Management and Systems > Knowledge management (1.00)

Technology: Information Technology > Communications > Collaboration (0.34)

full-field-optimization-for-gas-lift-assets

For assets having gas-lift as a predominant form of artificial lift, the full field optimization is essential due to the closed-loop nature of the system with significant interdependence amongst reservoir, wellbore and surface installation. This course will review full-field optimization concepts applicable to the gas lifted wells from subsurface to the surface. The participants will understand workflows of solving entire system using commercial software tools. Gas lift is the most forgiving lift method in that it continues to work over a wide suboptimal operating range without showing any symptoms of malfunctions. Single well-based optimization practices help improve the situation, but the entire field-based approaches are essential for improved production performance.

Country: Asia > India (0.16)

Genre: Instructional Material > Course Syllabus & Notes (1.00)

Industry: Energy > Oil & Gas > Upstream (1.00)

SPE Disciplines:

Production and Well Operations > Artificial Lift Systems > Gas lift (1.00)
Data Science & Engineering Analytics > Information Management and Systems (1.00)
Management > Asset and Portfolio Management > Field development optimization and planning (0.84)

Technology: Information Technology > Software (0.70)

artificial-lift-and-production-optimization-solutions

This course is designed to give trainees an overview of various artificial lift solutions and related production optimization concepts. After introducing participants to the need for an artificial lift system, training will focus on each of the following lift methods: Gas lift, Reciprocating Rod Lift, Progressing Cavity Pumping, Hydraulic Pumping, Electrical Submersible Pumping, Plunger and Capillary System. For each lift type, the course covers main components, application envelope, relative strengths and weaknesses. Animations, field cases, and example-calculations are used to reinforce concepts. A unique feature of this course is discussion on digital oil field as applicable to lift optimization.

artificial lift dr, artificial lift system, asia government, data Science, discipline, engineering analytic production, India government, Interdependence, operation data analytic, operation full field optimization, optimization, participant, progressing cavity pump, pumping, rajan chokshi, reservoir, Upstream Oil & Gas

Country: Asia > India (0.16)

Genre: Instructional Material > Course Syllabus & Notes (1.00)

Industry: Energy > Oil & Gas > Upstream (1.00)

SPE Disciplines: Production and Well Operations > Artificial Lift Systems > Progressing cavity pumps (0.91)

Technology: Information Technology (1.00)

About Forums

SPE WebsiteMarch, 2023

Forums are developed by the Forum Series Coordinating Committee and approved by the SPE Board of Directors. Planning and coordination is overseen by the Forum Series Implementation Committees, one committee dedicated for the western hemisphere and one committee dedicated for the eastern hemisphere. Forum topics are determined by relevance to region and technical discipline. What is an SPE Forum? A gathering together of 50‐75 of the best minds to discuss new ways of viewing the future that could not be achieved individually.

SPE Website

committee, Forum, participant, participation, presentation, SPE Forum, Upstream Oil & Gas

Industry: Energy > Oil & Gas > Upstream (1.00)

Forum Guidelines

SPE WebsiteMarch, 2023

Accepted participants will receive their registration form and other materials immediately after the participant selection process is completed, within two weeks of the application deadline. For those requiring visas to attend the forum, please ensure you leave sufficient time for your visa to be processed. Participants are expected to attend every session. Slides are limited, allowing maximum time for informal discussions and exchange of experience. Forums are conducted off the record to support the free interchange of information and ideas.

SPE Website

attendee, forum guideline, participant, Upstream Oil & Gas, VISA

Industry: Energy > Oil & Gas > Upstream (0.40)