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Sercan Gul
Sercan Gul
Pioneer Natural Resources
Verified email at pxd.com - Homepage
Title
Cited by
Cited by
Year
Automated Surface Measurements of Drilling Fluid Properties: Field Application in the Permian Basin
S Gul, E van Oort, C Mullin, D Ladendorf
SPE Drilling & Completion, 2020
342020
A machine learning approach to filtrate loss determination and test automation for drilling and completion fluids
S Gul, E van Oort
Journal of Petroleum Science and Engineering 186, 106727, 2020
322020
Frictional pressure losses of Non-Newtonian fluids in helical pipes: Applications for automated rheology measurements
S Gul, O Erge, E van Oort
Journal of natural gas science and engineering 73, 103042, 2020
312020
Drilling and Well Completion Cost Analysis of Geothermal Wells in Turkey
S Gul, V Aslanoglu
Stanford Geothermal Congress, 2018
292018
Artificial Neural Network Modeling of Cyclic Steam Injection Process in Naturally Fractured Reservoirs
A Ersahin, S Gul, T Ertekin, C Temizel
SPE Western Regional Meeting, 23-26 April, San Jose, California, USA, SPE …, 2019
252019
A data driven approach to predict frictional pressure losses in polymer-based fluids
S Gul, MD Johnson, A Karimi Vajargah, Z Ma, BB Hoxha, E van Oort
SPE/IADC Drilling Conference and Exhibition, D011S001R004, 2019
192019
Experimental Investigation of Cuttings Transport in Horizontal Wells Using Aerated Drilling Fluids
S Gul, E Kuru, M Parlaktuna
SPE Abu Dhabi International Petroleum Exhibition & Conference, 2017
152017
Real-Time Friction Factor Monitoring: Characterization of Drag Reduction in Polymer-Based Fluids
EO Mitchell Johnson, Sercan Gul, Ali Karimi, Besmir Buranaj Hoxha
AADE National Fluids Conference, 2018
12*2018
Helical pipe viscometer system for automated mud rheology measurements
S Gul, O Erge, E van Oort
SPE/IADC Drilling Conference and Exhibition, D101S019R001, 2020
112020
Estimation of Bottom Hole and Formation Temperature by Drilling Fluid Data: A Machine Learning Approach
S Gul, V Aslanoglu, MK Tuzen, E Senturk
Stanford Geothermal Congress, 2019
112019
Machine Learning Applications in Drilling Fluid Engineering: A Review
S Gul
Proceedings of the ASME 2021 40th International Conference on Ocean …, 2021
82021
Advanced materials and sensors in well logging, drilling, and completion operations
S Gul, J Shiriyev, V Singhal, O Erge, C Temizel
Sustainable Materials for Oil and Gas Applications, 93-123, 2021
82021
Automated Solids Content Determination in Drilling and Completions Fluids
S Gul, A Karimi Vajargah, E van Oort, A Leulseged, E Cayeux
SPE Annual Technical Conference and Exhibition?, D021S015R007, 2020
52020
Model predictive control for automated drilling fluid maintenance
I Feng, S Gul, D Chen, E van Oort
SPE/IADC Drilling Conference and Exhibition, D011S006R003, 2022
32022
Towards a Practical, Generally-Applicable Condition-Based Maintenance CBM System for Mud Pumps
D Yoon, S Gul, P Ashok, E van Oort
SPE/IADC Drilling Conference and Exhibition, D021S012R003, 2022
22022
Automated real-time solids content and salinity analysis of well construction fluids using in-line XRF measurements
S Gul, E van Oort
Journal of Natural Gas Science and Engineering 94, 104042, 2021
22021
A Novel Deepwater Kick Control Strategy for Handling Riser Gas Unloading with Data-Driven Parameter Estimation
Q Gu, AH Fallah, S Gul, P Ashok, D Chen, E van Oort, D Moore
SPE/IADC Managed Pressure Drilling and Underbalanced Operations Conference …, 2020
22020
Experimental Investigation of Amine- and Triazine-Based Biocide Effectiveness in Polymer-Based Fluids
V Aslanoglu, EH Istar, S Gul
Stanford Geothermal Congress, 2019
22019
Automated Mud Check with an AI-Enhanced Automated Mud Skid: Results of a Long-Term Permian Field Trial
S Gul, M El-Zein, H Aldin, M Aldin, C Mullin, E van Oort
SPE/IADC Drilling Conference and Exhibition, D031S022R002, 2022
12022
Solids analysis of drilling and completion fluids
E Van Oort, S Gul
US Patent App. 18/018,350, 2023
2023
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