DATA - Forecasting Analytics

Wednesday, 13 March

1300 - 1430

PALOMINO F-H

Technical_and_Invited_Presenter

This session focuses on advanced techniques for forecasting production in unconventional reservoirs. Presentations cover topics such as tight gas production prediction, integrating domain knowledge with deep learning, hybrid data-physics architectures, and characterizing fluid flow in multizone reservoirs.

Chairperson

Trevor Reid - Ovintiv

Ehsan Amirian - PETRONAS

1300-1330 218115
Tight Gas Production Prediction in the Southern Montney Play Using Machine Learning Approaches

G. Hui, F. Yao, Z. Pi, P. Bao, China University of Petroleum Beijing; W. Wang, CNPC YuMen Oilfield Branch Company; M. Wang, H. WANG, University of Calgary; F. Gu, Research Institute of Petroleum Exploration and Development, CNPC
1330-1400 218105
Production Forecast for Multistage Hydraulically Fractured Shale Gas Well Based on Integration of Domain Knowledge and Deep Learning Algorithm

Y. Luo, B. Kang, Zhenhua Oil Co., Ltd; J.C. Guo, Southwest Petroleum University; Y. Feng, Exploration and Development Research Institute of PetroChina Southwest Oil & Gas field Company; L.P. Jiang, W. He, Y. Cheng, Y. Xiao, X. Zhao, D. Shi, Zhenhua Oil Co., Ltd; C. Lu, Southwest Petroleum University
1400-1430 218111
Introducing a New Hybrid Data-Physics Architecture for Production Forecasting in Unconventional Wells

R. Matoorian, University of Calgary; M. Malaieri, Computer Modelling Group Ltd.; R. Shor, R. Aguilera, University of Calgary
Alternate 218112
Characterizing Fluid Flow in Multizone Reservoirs: Integrating Petrophysical Logging with Pressure Transient Responses

S. Rajput, S. Nukala, T.B. Wydiabhakti, A. Singh, V.S. Lopes, A. Kumar, SLB; K. Ojha, Indian Institute of Technology (ISM) Dhanbad; Q. Liu, SLB

2024 Technical Program

DATA - Forecasting Analytics