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Christine Noshi
Christine Noshi
Graduate Research Assistant, Texas A&M University
在 tamu.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
The role of machine learning in drilling operations; a review
CI Noshi, JJ Schubert
SPE eastern regional meeting, D043S005R006, 2018
1292018
An intelligent data driven approach for production prediction
CI Noshi, MR Eissa, RM Abdalla
Offshore Technology Conference, D041S048R007, 2019
472019
The role of big data analytics in exploration and production: A review of benefits and applications
CI Noshi, AI Assem, JJ Schubert
SPE International Heavy Oil Conference and Exhibition, D012S021R001, 2018
472018
Application of data science and machine learning algorithms for ROP optimization in West Texas: turning data into knowledge
CI Noshi
Offshore Technology Conference, D032S058R012, 2019
322019
Casing failure data analytics: A novel data mining approach in predicting casing failures for improved drilling performance and production optimization
CI Noshi, SF Noynaert, JJ Schubert
SPE Annual Technical Conference and Exhibition?, D011S001R003, 2018
272018
Data mining approaches for casing failure prediction and prevention
C Noshi, S Noynaert, J Schubert
International Petroleum Technology Conference, D021S018R001, 2019
242019
Clustering Analysis for Improved Characterization of Carbonate Reservoirs in a Southern Iraqi Oil Field
WJ Al-Mudhafar, EM Al Lawi, CI Noshi
Offshore Technology Conference, 2019
232019
Failure predictive analytics using data mining: how to predict unforeseen casing failures?
CI Noshi, SF Noynaert, JJ Schubert
Abu Dhabi International Petroleum Exhibition and Conference, D011S019R003, 2018
212018
Self-healing biocement and its potential applications in cementing and sand-consolidation jobs: a review targeted at the oil and gas industry
CI Noshi, JJ Schubert
SPE Liquids-Rich Basins Conference-North America, D022S010R001, 2018
152018
A brief survey of text mining applications for the oil and gas industry
C Noshi
International Petroleum Technology Conference, D011S010R001, 2019
82019
A Novel Microbially Induced Self-Healing Cement/Concrete for Underwater Concrete Offshore Structures
CI Noshi, JJ Schubert
SPE/IADC Drilling Conference and Exhibition, D022S022R001, 2019
52019
The Role of Machine Learning in Drilling Operations. A Review. Society of Petroleum Engineers
CI Noshi, JJ Schubert
52018
A novel in-situ generated acid system on carbonate mineral dissolution in sandstone reservoirs
CI Noshi
52015
Casing string fatigue: No more
CI Noshi, M Amani
Offshore Technology Conference, D011S009R004, 2022
22022
Reduction of Casing Failure Risk via SMART Adjustment of Casing Design and/or Downhole Practices
CI Noshi, M Amani
SPE Western Regional Meeting, D031S013R001, 2022
22022
Calculating a tortuosity index metric using machine learning techniques
CI Noshi, JJ Schubert
SPE/IADC Drilling Conference and Exhibition, D021S012R005, 2019
22019
Data driven physics-guided casing fatigue life estimation
CI Noshi, M Amani
Offshore Technology Conference, D031S032R008, 2022
12022
Data Driven Casing Failure Mitigation during Drilling and Completion, Operations Using a New Machine Learning Workflow on Data Set from the Granite Wash Formation
CIF Noshi
2022
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