Sunday, 29 September │1930–2200 │Blaine Kern A/B/C, First Floor, Marriott Convention Center Hotel
Event ticket purchase is required.
“Oil and Gas R&D, What is Over the Horizon?”
This event will feature a presentation about technology development and the need for more radical innovation to meet the future challenges in the oil and gas industry.
1. SPE R&D Technical Section— Opening Statement, Overview and Activities
- Mariano Gurfinkel
Global Unconventional Resources, Hess Corporation
SPE R&D Technical Section Chairman
2. SPE R&D Committee—Update on Committee Initiatives
- David Curry
Technology Fellow, Baker Hughes
SPE R&D Committee Chairman
3. Technical Section Dinner Panel Session: Introduction of Panelists
- Moderator: Mariano Gurfinkel
4. Featured Panelist Presentations:
- Mario Ruscev
VP and CTO – Baker Hughes, Inc.
Capture and Storage Institute
- Jim Sledzik
President – Energy Ventures USA
Join Luigi Saputelli on 16 October for a 90-minute webinar presenting a case study to predict liquid rate and water cut performance using neural networks (NN) in a mature reservoir with more than 20% water cut. More info: http://eo2.commpartners.com/users/spe/session.php?id=11526
Join us on 10 October for three perspectives from companies at the forefront of technology commercialization in this 90-minute webinar presented by Ashok Belani, Ram Shenoy, and Einar Gamman. More info: http://eo2.commpartners.com/users/spe/upcoming.php
Join Ilse Castellano for a ninety-minute presentation on local stakeholder engagement being a key element to project execution and business success.
In 2012, SPE International awarded funds to six young faculty members to carry out cutting edge research. These six were selected from a large number of extremely competitive applicants. The project is now finishing one year. Five of the researchers will present their progress and what is ahead to the SPE R&D community in two web events. Our hope is that with these presentations, they will have an opportunity to connect with SPE members who are interested in research and will be able to develop future collaborations.
Reservoir management is a continuously evolving process that adopts various technologies and strategies, to achieve a mission of maximizing total asset value. The infusion of the various technologies into the upstream industries has significantly impacted the E&P business environment. In recent years, industry has heavily turned to horizontal and multilateral wells to greatly expand reservoir contact, and thereby maximize oil production with lower unit development costs. Moreover, the appropriate use of advanced well completions has extended well life, increased productivity, and reduced field development costs when compared to conventional completions. The advancement in reservoir monitoring technologies has significantly changed from monitoring saturations around wellbores to realtime monitoring reservoir fluid dynamics.
This presentation demonstrates the evolution of various upstream technologies and their applications. It also highlights the uniqueness of some applications, their implementation approach, and their potential impact on field development and production strategy.
A virtual place where you can meet, collaborate, and discuss specific technical challenges and resolutions, SPE Connect is now your link to SPE members in the Management and Information (M&I) discipline worldwide.
SPE Connect’s online communities enable you to share your experience and knowledge, or draw from the combined talent and expertise of SPE’s membership base.
In an instant, exchange technical information with other SPE members in the topics of your choice at a time that is convenient for you. Simply go online to connect with SPE members who share your professional interests and create your own personal technical network.
Learn more about SPE Connect.
Access the new M&I Technical Community.
Have you seen a lecture on an exciting topic relevant to Management and Information? Was the speaker a leader in his or her field of expertise and an outstanding public speaker? If so, nominate them for the SPE Distinguished Lecturer Program—deadline 15 March. Learn more »
If you’re interested in learning more about the cutting-edge subjects of data mining and predictive analytics in oil and gas, tonight’s reception to launch the new SPE technical section Petroleum Data- Driven Analytics (PD2A) might be just what you’re looking for. It will be held from 1930 to 2200 at the Iron Cactus Grill on the San Antonio Riverwalk. Speakers include Matthew Denesuk, manager of natural resources modeling and social analytics, IBM Research Partner, IBM Venture Capital Group, and Fareed AlSayed Abdulla, SPE Regional Director, Middle East Region, and senior vice president (Bab & Gas) of Abu Dhabi Onshore Oil Operations.
Abdulla said he is delighted with the launching of the PD2A Technical Section. “The appropriate use of data has been historically one of the greatest challenges of our industry,” he said. “Now more than ever.”
“Our industry acquires and generates an extraordinary amount of data every day,” he said. “On its own, the task of handling and warehousing this data safely is significant. Even so, data in and of itself has limited value. Only when we use that data and turn it into information and knowledge can we benefit from it.”
“Paradoxically,” he continued, “the very process of converting data into knowledge generates its own data—or metadata—that must also be analyzed, classified, and understood to yield further insight.”
Converting Data to Wisdom
Including 3D and 4D seismic data generated during exploration and data generated every second from thousands of sensors during drilling and operations, the oil and gas industry is accumulating enormous amounts of data. The challenge is converting these data into insights that can be used in decision-making, perhaps even in some cases reaching a point at which decision-making can be fully automated.
The following are examples that illustrate the breadth of the opportunity PD2A technology has to impact E&P decision-making processes:
Drilling and Completions—Data mining, neural networks, and expert systems can use data captured during drilling to oversee the drilling operation in real time, detect potential issues, alarm and provide potential solutions, or even take corrective action.
Health, Safety, Security, Environment, and Social Responsibility—Surrogate models can be used to study air pollution and water pollution dispersion patterns. The application of such technologies will help in predicting loss of containment of hydrocarbons and potential impact on the environment.
Management and Information— Data mining, artificial intelligence, and surrogate models can be used to optimize how water injection is distributed in a waterflooded reservoir. This is a key factor in maximizing the value of waterflooding in upstream operations.
Projects, Facilities, and Construction—Intelligent algorithms using simple models can be used to optimize the size of facilities, taking into account the full field development life cycle.
Production and Operations—Making no assumptions about the complex physics or the geology of a field, large quantities of easily obtained production and operational data can be used to identify wells that are candidates for intervention, using diagnostic and prognostic capabilities that indicate the health of the well or facility.
Reservoir Description and Dynamics—Production data can be used to develop full-field reservoir models to identify production and injection infill locations faster and complement existing reservoir modeling to reduce uncertainty in model results.
PD2A’s Auspicious Launch
According to the PD2A Technical Section chairperson, Shawn Shirzadi, program manager for the Data Analytics Program in Field of the Future Flagship at BP, the launch is an auspicious occasion. “This is the first time the technical section has been introduced widely to SPE members,” he said.
It could be an opportunity to become involved in an important wave of the future—PD2A—whose mission is “To foster the application of data-driven modeling, data mining, and predictive analytics research, development, and practices in upstream oil and gas, resulting in improved decision-making in our industry.”
In addition, one could join in furthering PD2A’s purpose. “The purpose of this section shall be to facilitate the development and implementation of this emerging technology by ensuring it is appropriately represented across all technical disciplines in the society’s activities, including Advanced Technology Workshops, Forum Series events, Distinguished Lecturer program, and conference technical sessions. Key objectives also include liaising with others in the oil field and promoting activities in SPE publications. The section will support initiatives to communicate the technology, standardize its nomenclature, and help define its value proposition. In addition, the section will identify lessons learned and best practices associated with the accelerated uptake of ‘Data to Action’ and, if appropriate, facilitate the development of standards.”
William J. Haskett, Decision Strategies, Houston, Texas, USA
More than any other individual, Bill Haskett has taught the oil and gas industry how to validly evaluate the economic potential of unconventional plays. He continues to be one of the noted thought leaders in efficient/valid assessment of plays, the creation and protection of competitive advantage, and the development of robust business strategies for domestic and international opportunities.