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Held under the patronage of HIS HIGHNESS SHEIKH HAMDAN BIN MOHAMMED BIN RASHID AL MAKTOUM, Crown Prince of Dubai, United Arab Emirates

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SPE Annual Technical Conference and Exhibition (ATCE)
21–23 September 2021, Dubai World Trade Centre
Dubai, United Arab Emirates

Host Organisation

dragon oil logo

Seminars

Seminars

Extend your ATCE experience by attending a seminar before or after the conference. SPE seminars are taught by industry experts that develop courses covering a wide range of topics. Find a topic that matches your learning and professional development needs.

Participants receive 0.8 Continuing Education Units (CEUs) for one-day seminars and 1.6 Continuing Education Units (CEUs) for a two-day seminars.

Seminars are not included with the purchase of ATCE conference registration and must be purchased separately
.

Seminars taking place in GST time (UTC+4)

Seminars taking place in CST time (UTC-6)

A Proactive Approach to Ensure Well Integrity During the Construction and Operation of Wells (13 September)

Time: 0900–1600 (GST)
Instructor: Salim Taoutaou
Discipline(s): Completions and Drilling
Location: Virtual

This course will:

  • Define the building blocks of a successful well integrity management programme
  • Define well integrity well categorisation based on compliance to the barrier policy outlined in the regulations and develop an approach to risk management
  • Well barriers and their verification
  • Monitoring and surveillance of well integrity (focus on cementing and corrosion)
  • Understand the well integrity ISO standard (calculation of MAASP etc.)

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Methane Emission Measurement & Mitigation (16 September)

Time: 0800–1700 (CST)
Instructor: Darcy Spady
Discipline(s): Health, Safety, Environment, and Sustainability, and Production and Operation
Location: Virtual

This one-day course will include a view of best practices for Carbon Management with a focus on fugitive methane reduction. It will include global and local examples of Carbon Regulations, give tools for de-risking regulatory compliances and field-proven methane reduction technology cases. It will be introduced within the framework of the UN’s Sustainable Development Goals (SDGs) and regional Environmental and Social Metrics as proposed by governments or regulators. This is especially relevant to oil and gas production and the consequent action/strategies producers need to have in place for regulators, banks, investors and governments. In particular, the course will include two technical discussions regarding the most time-critical components of methane management compliance — fugitive emission leak detection and compressor seal vent gas measurement. The course will also look at the typical data management requirements. 

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Process Safety for E&P Operations (16 September)

Time: 0900–1600 (GST)
Instructor: Mark Hansen
Discipline(s): Health, Safety, Environment, and Sustainability, and Production and Operations
Location: Virtual

This course provides a fundamental understanding of process safety techniques and how applying these techniques can improve safety, equipment reliability, environmental performance and reduce overall costs. It presents an overview of the elements comprising process safety, practical examples, and how process safety can be integrated into day-to-day operations.

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Applied Statistical Modeling and Data Analytics for Reservoir Performance Analysis (20 September)

Time: 0800–1700 (CST)
Instructor: Srikanta Mishra
Discipline(s): Data Science and Engineering Analytics, and Reservoir
Location: Virtual

This course will provide an introduction to statistical modeling and data analytics for reservoir performance analysis by focusing on: (a) easy-to-understand descriptions of the commonly-used concepts and techniques, and (b) case studies demonstrating the value-added proposition for these methods. Participants are encouraged to use their own laptops to follow along the exercises in the course.

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Reservoir Engineering Applications of Advanced Data Analytics and Machine Learning Algorithms (19 September)

Time: 0800–1600 (GST)
Instructor: Ashwin Venkatraman
Discipline(s): Data Science and Engineering Analytics, Drilling, Production and Operations, and Reservoir
Location: In-Person, Hilton Dubai Al Habtoor City

In this course, we will start by introducing advanced analytical tools and techniques—machine learning and data mining algorithms used to identify of trends and patterns in any given dataset and predict future trends. We will showcase how each of these tools and techniques has been successfully applied to subsurface data - formation evaluation data, well testing data, reservoir data as well as data from surface facilities. We shall also present case studies of how the integration of this seemingly disparate data can be done through new workflows that help identify opportunities to increase recovery. Finally, we will draw important distinctions between the more traditionally used forward models (physics-based approach such as reservoir simulation) and these statistics-based models. Using a case study that demonstrates the integration of these two approaches, we shall conclude by drawing out a framework for the integration of these tools in your existing workflows.

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Unconventional Reservoir Production (Rate-Transient) Analysis (27–28 September)

Time: 0800–1700 (CST)
Instructor: Christopher R. Clarkson
Discipline(s): Data Science and Engineering Analytics, and Reservoir
Location: Virtual

This course introduces a workflow and reviews methods for performing quantitative rate-transient analysis of fractured vertical and multi-fractured horizontal wells (MFHWs), produced from unconventional (low-permeability) gas and light oil reservoirs, including shales. State-of-the-art methods to account for unconventional reservoir complexities, such as multi-phase flow and stress-dependent permeability, are introduced, and their application is demonstrated using field examples. Techniques for analysis of both long-term (online) production and short-term (flowback) data are discussed.

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