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Production Optimization Webinar Series

April 28 - May 12, 2021
Webinar Series

 

With operators increasingly focused on development and production, where small adjustments can have large financial impact, the software tools utilized to make and validate decisions need to be scrutinized more closely than ever before. Emerson's broad E&P software portfolio contains countless technologies for maximizing production.  In this series, we will showcase a selection of these, highlighting their proven impact on development decisions. In the first three lectures, we will focus on EarthStudy 360™, an innovative, full-azimuth seismic characterization technology; Big Loop™, a reservoir engineering ecosystem, and SRO, a cloud- based FDO ranking system.

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Wednesday, April 28
10:00 - 11:00 AM CET
Optimizing the Oil Field Life Cycle Using the EarthStudy 360 Full-azimuth Imaging Solution
Presented by Alan Vigner
Working with accurate seismic images is critical for all geoscientists at every step of the oil and gas field life cycle. With the help of the proven EarthStudy 360 imaging technology, the complete recorded wavefield provides a highly accurate and detailed description of the subsurface. The system can be used to deliver fast, target-oriented solutions for reservoir imaging. EarthStudy 360 goes beyond conventional depth imaging, however, as it provides unique, prestack, full-azimuth data which P&I experts, interpreters and geomodelers can use to achieve unrivalled accuracy in their subsurface velocity models, high-resolution structural attributes, and reservoir characteristics. These enable seismic data to play a vital role in developing the most accurate characterization of the reservoir, and to impact development decisions.

 

Wednesday, May 5
10:00 - 11:00 AM CET
Collaborative Geology – Reservoir Engineering Technologies for Optimized Asset Development in a Volatile Oil Price Environment
Presented by Camille Cosson
Field development planning is a challenging exercise with a critical impact on CAPEX and OPEX. Predicting reservoir performance is a one of the main parameters impacting the decision, and it is a true science requiring research and detailed analysis. It takes time to fine-tune reservoir models, fitting satisfactorily to geology and production data. In fast-changing environments, we propose a new method for building evergreen models, easily updated and modified with new data, to test new scenarios while always preserving geologic consistency. Automating and combining the domains of static and dynamic modeling, Big Loop helps detect anomalies that couldn’t be detected, and understand what couldn’t be understood with trial-and-error history match or automated history match. This solution enables testing development scenarios that couldn’t be tested in a reasonable time frame and find optimal developments. It has been used to support numerous field development plans worldwide, and proves that reservoir modeling can be decisive for reducing costs and maximizing production.

Wednesday, May 12
2:00 PM - 3:00 PM CET
SRO: An Artificial Intelligence-based Multi-disciplinary Technology for Identification and Performance Evaluation of FDOs
Presented by Lichi Deng, QRI
SpeedWise® Reservoir Opportunity (SRO) is a fully automated cloud-based solution that applies advanced computational algorithms and data mining techniques to multi-disciplinary datasets to automatically identify a ranked list of remaining and actionable field development opportunities. The collaborative and secure environment enhances team-work efficiency by breaking down work silos and achieving optimal field development planning. The streamlined and automated framework builds a comprehensive opportunity inventory designed to increase production and reserves while improving capital efficiency. Inside SRO, multiple geological and engineering workflows have been intelligently automated, including drainage analysis, flow unit allocation, remaining pay interpretation, optimal target search, interference analysis, uncertainty quantification, and others. SRO delivers a feasible and actionable inventory within a short time frame, and rewards asset teams with shorter decision cycles, better risk management, and smarter decisions than traditional labor-intensive approaches. It is also accessed online via a subscription as SaaS (Software as a Service) and meets the requirements of the most security-sensitive organizations. Ultimately, the benefits of SRO are threefold: speed, accuracy/risk mitigation, and value creation. 


Biographies

Alan Vigner is Technical Sales Advisor at Emerson E&P Software for Processing and Imaging Solutions (Europe). Prior to joining Emerson, he worked at PGS, CGG and GeoTeric.  Alan holds a PhD in Geophysics from the Institut de Physique du Globe de Paris (IPGP), and an MA in Particle Physics from the University of Caen (France). He is the author of several technical articles.

 

Camille Cosson works within the Emerson E&P Reservoir Modeling and Engineering team. She is an expert in geological modeling and has worked on various field studies in Europe, Africa, South America and Asia. She has knowledge in Petroleum Geoscience, Seismic Interpretation and Reservoir Modeling, and provides her expertise in integrated reservoir studies. She holds a MSc degree in Petroleum Geoscience from the National School of Geology in Nancy, France.

 

 

Dr. Lichi Deng holds a PhD in Petroleum Engineering from Texas A&M University and is a member of QRI’s Quantum Technologies Team. He is a key developer of QRI’s SpeedWise® Reservoir Opportunity (SRO) and SpeedWise® Artificial Lift (SAL). Prior to his work with QRI, Dr. Deng was a graduate research assistant at Texas A&M University, where he worked on research projects including capillary corrections to Buckley-Leverett Flow (waterflood), and investigation of spontaneous/forced imbibition and its application to unconventional reservoirs. He has also worked on multiple different research topics of ML/AI applications to oil and gas problems.