Date: 25-26 March 2019
Venue: Hilton Hotel, Kuala Lumpur

AEM attended this workshop to discuss requirements to improve the effective in managing Water Injection projects throughout all phases, from design stage through to reservoir surveillance and post-implementation.

Edo Pratama, AEM Reservoir Engineer shared on ‘Application of Deep Learning for Well Pair Analysis in Routine Waterflood Surveillance’. The main objective of the topic is to examine the possibility of use a deep learning-based model to improve the accuracy of Hall plot analysis, help in identifying the communication strength between injector/ producer well pairs, and to forecast oil production rate. This study has shown that application of advanced data analytics and deep learning solution for Water Injection surveillance can be an alternative solution to deliver faster and accurate results.

Contact Details

+603 2733 0338 (Phone)

Head Office, Asia, Level 9, West Block, Wisma Golden Eagle Realty (GER), 142C, Jalan Ampang, 50450 Kuala Lumpur, Malaysia.

Contact Details

+603 2733 0338 (Phone)

Head Office, Asia, Level 9, West Block, Wisma Golden Eagle Realty (GER), 142C, Jalan Ampang, 50450 Kuala Lumpur, Malaysia.

© All Rights Reserved 2019

© All Rights Reserved 2019