INDUSTRY PUBLICATIONS

Advanced Methods for Determining the Value of Information of Surveillance Data Acquisition Using Predictive Analytics 

Kechut, N. I., Hassan, A. A., Izyan, W. F., Zamri, W. M., Raub, M. R. A., Tewari, R. D., … Alessio, L. D. (2017, October 17). Advanced Methods for Determining the Value of Information of Surveillance Data Acquisition Using Predictive Analytics. Society of Petroleum Engineers. doi:10.2118/186304-MS

Locate the Remaining Oil ltro and Predictive Analytics Application for Development Decisions on the Z Field

Alessio, L. D., Nasri, H., Pan, S., Clement, L. T. U., & Peng, C. K. (2013, October 22). Multi-Realisation Full-Field History-Matching For CBM Resources a New Approach with Global Optimisation Coupled with Geo-Statistical Filtering. Society of Petroleum Engineers. doi:10.2118/165740-MS

Advanced Methods for Determining the Value of Information of Surveillance Data Acquisition Using Predictive Analytics

Masini, C., Al Shuaili, K. S., Kuzmichev, D., Mironenko, Y., Majidaie, S., Buoy, R., … Postuma, W. (2019, September 17). Locate the Remaining Oil ltro and Predictive Analytics Application for Development Decisions on the Z Field. Society of Petroleum Engineers. doi:10.2118/196631-MS

Hybrid data-driven physics compliant methods, the future for petroleum engineering?

B. Moriadi, L. Alessio, O.J. Sandal. (2022, March 23). Hybrid physics-based data-driven methods… the future for petroleum engineering?. European Association of Geoscientists & Engineers. doi:10.3997/2214-4609.202239085

Locating the Remaining Oil by a Novel Hybrid Data-Driven Physics-Compliant Technique, Under 4D Constraints

 B. Moradi, S. Taheri, J. Brain, J. Churchill, K. Jeffrey, S. Liebnitz, R. Singlehurst-Ward, G. Stone, O.J. Sandal, L. Alessio. (April 2022). Locating the Remaining Oil by a Novel Hybrid Data-Driven Physics-Compliant Technique, Under 4D Constraints. doi: 10.3997/2214-4609.20224044

Case Studies of Digitalized Locate the Remaining Oil Workflows Powered by Hybrid Data & Physics Methods