The SPE has split the former "Management & Information" technical discipline into two new technical discplines:
- Management
- Data Science & Engineering Analytics
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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, artificial lift solution, artificial lift system, asia government, closed-loop nature, engineering analytic production, India government, operation data analytic, operation full field optimization, participant, production optimization concept, rajan chokshi, reservoir, significant interdependence, surface installation, Upstream Oil & Gas
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.
artificial lift dr, artificial lift system, asia government, asset and portfolio management, data Science, discipline, engineering analytic production, foundation, gas injection, gas lift, India government, investment, operation artificial lift, operation data analytic, Overview, participant, rajan chokshi, software, trainee, Upstream Oil & Gas, workflow
SPE Disciplines:
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
SPE Disciplines: Production and Well Operations > Artificial Lift Systems > Progressing cavity pumps (0.91)
Application of data-driven analytics and predictive modeling in the oil and gas industry is fairly new. A handful of researchers and practitioners have concentrated their efforts on providing the next generation of tools that incorporates these technologies for the petroleum industry. Data-driven analytics have become an integrated part of many new technologies used in our daily lives such as smart automatic transmissions in cars, the detection of explosives within airport security systems, smooth rides in complex subway systems, and the prevention of fraud in credit card use. They are extensively used to predict chaotic stock market behavior, and are increasingly being used to optimize financial portfolios. A large amount of data is routinely collected during production operations in shale assets. The collected data can be utilized to gain a competitive advantage in optimizing production and increasing recovery.
ai-based reservoir simulation, analytic, Artificial Intelligence, completion data science, data mining, data Science, data-driven reservoir modeling, discipline, Engineering application, machine learning, numerical reservoir simulation, petroleum data analytic, reservoir modeling, reservoir simulation, Upstream Oil & Gas
SPE Disciplines:
Technology:
Artificial Intelligence and Machine Learning is revolutionizing many industries. This technology is becoming an important point of competitive differentiation in the upstream oil and gas industry. Since optimization of production and enhanced recovery is the important issue for the petroleum industry, companies are realizing that reality and actual field measurements play much more important role in success of decision making than traditional assumptions, interpretations, and preconceived notions. "Data" representing the actual field measurements, can provide much needed insight. Petroleum Data Analytics provides a set of tools and techniques for both conventional and unconventional resources to extract patterns and trends from data and construct predictive models to assist decision making and optimization.
ai-based reservoir simulation, analytic, application, Artificial Intelligence, completion data science, data Science, data-driven reservoir modeling, discipline, Engineering application, machine learning, modeling, neural network, numerical reservoir simulation, petroleum data analytic, reservoir modeling, reservoir simulation, Upstream Oil & Gas
SPE Disciplines:
Technology:
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