Is Surfactant Environmentally Safe for Offshore Use and Discharge? The current presentation date and time shown is a TENTATIVE schedule. The final/confirm presentation schedule will be notified/available in February 2019. Designing Cement Jobs for Success - Get It Right the First Time! Connected Reservoir Regions Map Created From Time-Lapse Pressure Data Shows Similarity to Other Reservoir Quality Maps in a Heterogeneous Carbonate Reservoir. X. Du, Y. Jin, X. Wu, U. of Houston; Y. Liu, X. Wu, O. Awan, J. Roth, K.C. See, N. Tognini, Shell Intl.
By International Petroleum Technology Conference (IPTC) Monday, 25 March 0900-1600 hours Instructors: Olivier Dubrule and Lukas Mosser, Imperial College London Deep Learning (DL) is already bringing game-changing applications to the petroleum industry, and this is certainly the beginning of an enduring trend. Many petroleum engineers and geoscientists are interested to know more about DL but are not sure where to start. This one-day course aims to provide this introduction. The first half of the course presents the formalism of Logistic Regression, Neural Networks and Convolutional Neural Networks and some of their applications. Much of the standard terminology used in DL applications is also presented. In the afternoon, the online environment associated with DL is discussed, from Python libraries to software repositories, including useful websites and big datasets. The last part of the course is spent discussing the most promising subsurface applications of DL.
Summary: This study aims to improve the imaging and detection of gas hydrate stability zones, particularly in regions that lack the presence of a Bottom Simulating Reflector (BSR) in the seismic data. Rock physics modeling techniques and a variety of seismic attribute studies have been performed in two New Zealand petroleum basins. Initial results demonstrate that far offset seismic data is critical in improving the imaging of the base of the gas hydrate stability zone. A variety of seismic attributes such as reflection strength, interval velocity analysis, and instantaneous frequency have demonstrated moderate success in validating the presence of a BSR (e.g. Lee and Dillon, 2001; Taylor et al., 2000; Berndt et al., 2004; Ojha and Sain, 2009). Although, most of these studies rely on the identification of an amplitude anomaly or frequency changes in regions that have free gas trapped beneath the base of the GHSZ, and have limited success in regions with a weak, discontinuous or nonexistent BSR.