Browsing NTNU Open by Author "Hosseini, Erfan"
Now showing items 1-4 of 4
-
Improving the Rheological and Mechanical Properties of Oil Well Cement Slurries Using Multiple Chemical Admixtures for Enhancing Zonal Isolation: A Laboratory Evaluation
Elahifar, Behzad; Hosseini, Erfan (Journal article; Peer reviewed, 2022)The study uses chemical and mineral admixtures to understand the critical processes affecting the cement slurry characteristics, including rheological properties, free water, compressive strength, and thickening time. Using ... -
Laboratory study of plugging mechanism and seal integrity in fractured formations using a new blend of lost circulation materials
Elahifar, Behzad; Hosseini, Erfan (Peer reviewed; Journal article, 2023)The problem of lost circulation occurred long during the drilling operation. Through induced and natural fractures, huge drilling fluid losses lead to higher operating expenses during the drilling. Historically, this problem ... -
Machine learning algorithm for prediction of stuck pipe incidents using statistical data: case study in middle east oil fields
Elahifar, Behzad; Hosseini, Erfan (Peer reviewed; Journal article, 2022)One of the most troublesome issues in the drilling industry is stuck drill pipes. Drilling activities will be costly and time-consuming due to stuck pipe issues. As a result, predicting a stuck pipe can be more useful. ... -
A new approach for real-time prediction of stick–slip vibrations enhancement using model agnostic and supervised machine learning: a case study of Norwegian continental shelf
Elahifar, Behzad; Hosseini, Erfan (Journal article; Peer reviewed, 2023)Efficient and safe drilling operations require real-time identification and mitigation of downhole vibrations like stick-slip, which can significantly diminish performance, reliability, and efficiency. This pioneering ...