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Salem Al Gharbi
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Year
Machine learning for detecting stuck pipe incidents: Data analytics and models evaluation
A Alshaikh, A Magana-Mora, SA Gharbi, A Al-Yami
International petroleum technology conference, D021S021R003, 2019
712019
AccuPipePred: A framework for the accurate and early detection of stuck pipe for real-time drilling operations
A Magana-Mora, S Gharbi, A Alshaikh, A Al-Yami
SPE Middle East Oil and Gas Show and Conference, D032S077R003, 2019
332019
Drilling through data: automated kick detection using data mining
R Alouhali, M Aljubran, S Gharbi, A Al-yami
SPE International Heavy Oil Conference and Exhibition, D012S018R001, 2018
312018
Detection of stuck pipe early signs and the way toward automation
AA Alshaikh, MK Albassam, SH Al Gharbi, AS Al-Yami
Abu Dhabi International Petroleum Exhibition and Conference, D021S030R002, 2018
312018
Using Bayesian network to develop drilling expert systems
AS Al-Yami, A Al-Shaarawi, H Al-Bahrani, VB Wagle, S Al-Gharbi, ...
SPE International Heavy Oil Conference and Exhibition, D012S015R003, 2016
232016
An integrated system for drilling real time data analytics
AM Alsalama, JP Canlas, SH Gharbi
SPE Intelligent Energy International Conference and Exhibition, SPE-181001-MS, 2016
182016
Optimization of tripping speed to minimize surge & swab pressure
AM Al-Abduljabbar, ME Hossain, SA Gharbi, M Al-Rubaii
SPE/IADC Middle East Drilling Technology Conference and Exhibition, D031S021R004, 2018
142018
Automated real-time hole cleaning efficiency indicator
MM Al-Rubaii, ASH Al-Yami, SH Al Gharbi
US Patent App. 16/421,045, 2020
112020
Statistical methods to improve the quality of real-time drilling data
S Al-Gharbi, A Al-Majed, A Abdulraheem, Z Tariq, M Mahmoud
Journal of Energy Resources Technology 144 (9), 093006, 2022
92022
A real-time indicator for the evaluation of hole cleaning efficiency
M Alawami, M Bassam, S Gharbi, M Al Rubaii
SPE Asia Pacific Oil and Gas Conference and Exhibition, D021S020R001, 2020
92020
Automated Real time Data Cleansing and Summarization; Case Study on Drilling Hook load Real time Data
SH Al Gharbi, FS Al sanie, MR Al Zayer
SPE Middle East Intelligent Oil and Gas Symposium, D011S013R001, 2015
92015
Real-time equivalent circulating density of drilling fluid
MM Al-Rubaii, ASH Al-Yami, SH Al Gharbi
US Patent 10,989,046, 2021
82021
Modeling and prediction of resistivity, capillary pressure and relative permeability using artificial neural network
M Ba alawi, S Gharbi, M Mahmoud
International Petroleum Technology Conference, D031S075R002, 2020
82020
Use metaheuristics to improve the quality of drilling real-time data for advance artificial intelligent and machine learning modeling. case study: Cleanse hook-load real-time data
S Al Gharbi, M Ahmed, SE ElKatatny
Abu Dhabi International Petroleum Exhibition and Conference, D021S054R004, 2018
82018
Optimization of Tripping Speed to Minimize Surge & Swab Pressure
MM Al-Rubaii, AM Al-Abduljabbar, ME Hossain, SA Gharbi
Society of Petroleum Engineers, 2018
62018
Rig Sensor Data for AI-ML Technology-Based Solutions: Research, Development, and Innovations
H Gamal, S Elkatatny, S Al Gharbi
Abu Dhabi International Petroleum Exhibition and Conference, D021S074R006, 2023
52023
Using data-mining CRISP-DM methodology to predict drilling troubles in real-time
S Al Gharbi, A Al-Majed, A Abdulraheem, S Patil, S Elkatatny
IADC/SPE Asia Pacific Drilling Technology Conference, 2021
52021
IIncreasing ANN Accuracy, by Improving the Training Dataset Criteria. Case Study: Identify the Formation Density from The Drilling Surface Parameters in Real-Time
S Al Gharbi, Q Liao, S Elkatatny, A Abdulraheem
SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, SPE …, 2018
52018
Drilling rig schedule optimization
SH Al Gharbi
King Fahd University of Petroleum and Minerals (Saudi Arabia), 2011
52011
What is the Best Artificial Intelligent Technology to Solve Drilling Challenges?
S Gharbi, AA Al Majed, A Abdulraheem, S Patil, S Elkatatny
SPE EOR Conference at Oil and Gas West Asia, D021S010R002, 2022
42022
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