Search Results - "Khosravanian, Rasool"

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  1. 1

    A machine learning approach to predict drilling rate using petrophysical and mud logging data by Sabah, Mohammad, Talebkeikhah, Mohsen, Wood, David A., Khosravanian, Rasool, Anemangely, Mohammad, Younesi, Alireza

    Published in Earth science informatics (01-09-2019)
    “…Predicting the drilling rate of penetration (ROP) is one approach to optimizing drilling performance. However, as ROP behavior is unique to specific geological…”
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    Journal Article
  2. 2

    Selection of Optimal Well Trajectory Using Multi-Objective Genetic Algorithm and TOPSIS Method by Yavari, Hossein, Qajar, Jafar, Aadnoy, Bernt Sigve, Khosravanian, Rasool

    “…This study presents a novel approach for optimizing well paths in extended reach drilling (ERD) wells. Different trajectories can be used for ERD wells, each…”
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    Journal Article
  3. 3

    Application of adaptive neuro-fuzzy inference system and data mining approach to predict lost circulation using DOE technique (case study: Maroon oilfield) by Farough Agin, Rasool Khosravanian, Mohsen Karimifard, Amirhosein Jahanshahi

    Published in Petroleum (01-12-2020)
    “…Lost circulation is the most common problem encountered while drilling oil wells. Occurrence of such a problem can cause a lot of time and cost wastes. In…”
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    Journal Article
  4. 4

    An approach for optimization of controllable drilling parameters for motorized bottom hole assembly in a specific formation by Yavari, Hossein, Fazaelizadeh, Mohammad, Aadnoy, Bernt Sigve, Khosravanian, Rasool, Qajar, Jafar, Sedaghatzadeh, Mostafa, Riazi, Masoud

    Published in Results in engineering (01-12-2023)
    “…This study focuses on optimizing drilling parameters when using Positive Displacement Motors (PDMs). In drilling operations involving mud motors, weight-on-bit…”
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    Journal Article
  5. 5

    Optimizing the separation factor along a directional well trajectory to minimize collision risk by Mansouri, Vahid, Khosravanian, Rasool, Wood, David A., Aadnøy, Bernt Sigve

    “…Optimizing the trajectory of directional wellbores is essential to minimize drilling costs and the impacts of potential drilling problems. It poses…”
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    Journal Article
  6. 6

    Improving predictive models for rate of penetration in real drilling operations through transfer learning by Pacis, Felix James, Ambrus, Adrian, Alyaev, Sergey, Khosravanian, Rasool, Kristiansen, Tron Golder, Wiktorski, Tomasz

    Published in Journal of computational science (01-09-2023)
    “…The rate of penetration (ROP) is a key performance indicator in the oil and gas drilling industry as it directly translates to cost savings and emission…”
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    Journal Article
  7. 7

    Closed-loop well construction optimization (CLWCO) using stochastic approach under time uncertainty by Khosravanian, Rasool, Aadnøy, Bernt Sigve

    Published in Journal of petroleum science & engineering (01-09-2021)
    “…There is a digital step change taking place in well construction today. More and better data will become available for a vast number of analyses. The well…”
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    Journal Article
  8. 8

    Optimized drilling saves time in Persian Gulf by Khosravanian, Rasool, Aadnøy, Bernt Sigve

    Published in The Oil & gas journal (07-09-2020)
    “…A comprehensive study of new phases for Statoil South Pars phase development optimized drilling times. Using South Pars drilling history in Phases 6, 7, and 8…”
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    Magazine Article
  9. 9

    Modeling optimizes casing points in Persian Gulf wells by KHOSRAVANIAN, Rasool, ARYANEZHAD, M. B, MAKUI, Ahmad, AADNOY, Bernt S, NADERIFAR, Abbas

    Published in The Oil & gas journal (05-01-2009)
    “…Researchers modeled casing-point setting depths in National Iranian Oil Co's RSH field using various tools and scenarios to save as much as 15%. RSH field is…”
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    Magazine Article