06T Next Generation Reservoir Analytics

06T Next Generation Reservoir Analytics

04 Sep 2019, 10:00 - 12:00

Room 4a/4b

Reservoir characterisation and performance analysis has been at the vanguard of exploiting high performance computing to integrate and extract understanding from large and complex data sets for decades. In the lower for longer price environment the imperative to clearly understanding our reservoirs has never been higher. This session highlights new methods and analytical techniques allowing maximum information to be drawn. The developments presented enable and support an enhanced understanding of reservoirs, heralding a next generation of reservoir analytics ensuring that the Industry remains competitive in an ever advancing digital world.


1000       195712  Challenge of Temperature Control for Downhole Instruments in HTHP Reservoir

                              W. Gao, K. Liu, H. Jia, D. Hong, X. Teng, CNPC Engineering Technology R&D Company Limited

1030       195778  A Fractal Approach to the Modelling and Simulation of Heterogeneous and Anisotropic Reservoirs

                              P. Glover, P. Lorinczi, S. Al-Zainaldin, H. Al-Ramadhan, S. Sinan, G. Daniel, University of Leeds

1100       195719   Adaptive Artificial Neural Networks for Water-cut Estimation Using Near-infrared Optical Sensors

                               Q. Li, K. Fjalestad, Equinor ASA

1130       195734  Evaluation of Directly Simulated WAG Hysteresis at Pore Scale and its Effect on Injectivity Index

                              A. Fager, B. Crouse, G. Sun, R. Xu, D. Freed, Dassault Systèmes



  • Grant Affleck



  • Jonathan Copp



We use cookies to operate this website and to improve its usability. Full details of what cookies are, why we use them and how you can manage them can be found by reading our Privacy & Cookies page. Please note that by using this site you are consenting to the use of cookies.