Petroleum2025，Vol.11Issue(2)：P.174-187,14.DOI:10.1016/j.petlm.2025.03.002
Predicting water-based drilling fluid filtrate volume in close to real time from routine fluid property measurements
Shadfar Davoodi 1Mohammed Ba Geri 2David A.Wood 3Mohammed Al-Shargabi 1Mohammad Mehrad 1Alireza Soleimanian1
作者信息
- 1. School of Earth Sciences&Engineering,Tomsk Polytechnic University,Lenin Avenue,Tomsk,Russia
- 2. Newpark Drilling Fluids,21920 Merchants Way,Katy,TX 77449,USA
- 3. DWA Energy Limited,Lincoln,United Kingdom
- 折叠
摘要
关键词
Water-based drilling fluid/Near-real-time filtration estimation/Key fluid properties/Predictive machine-learning model/Convolutional neural network(CNN)分类
能源科技引用本文复制引用
Shadfar Davoodi,Mohammed Ba Geri,David A.Wood,Mohammed Al-Shargabi,Mohammad Mehrad,Alireza Soleimanian..Predicting water-based drilling fluid filtrate volume in close to real time from routine fluid property measurements[J].Petroleum,2025,11(2):P.174-187,14.
