Prediction of nanofluids viscosity using random forest (RF) approach
M Gholizadeh, M Jamei, I Ahmadianfar… - … and Intelligent Laboratory …, 2020 - Elsevier
Accurate estimation of viscosity, one of the most important thermo-physical properties of
nanofluids, is essential in heat transfer fluid applications in many industries. In this paper, for …
nanofluids, is essential in heat transfer fluid applications in many industries. In this paper, for …
Estimation of the rate of penetration while horizontally drilling carbonate formation using random forest
H Osman, A Ali, AA Mahmoud… - Journal of Energy …, 2021 - asmedigitalcollection.asme.org
Predicting the rate of penetration (ROP) is challenging especially during horizontal drilling.
This is because there are many factors affecting ROP. Machine learning techniques are very …
This is because there are many factors affecting ROP. Machine learning techniques are very …
Modified spatio-temporal neural networks for failure risk prognosis and status forecasting of permanent downhole pressure gauge
CI Ossai - Journal of Petroleum Science and Engineering, 2020 - Elsevier
Abstract Permanent Downhole Pressure Gauges (PDPGs) are sensors installed in the
wellbores to measure the downhole pressure. Due to the abrupt changes in pressure, the …
wellbores to measure the downhole pressure. Due to the abrupt changes in pressure, the …
Enhancing wireline formation testing with explainable machine learning: Predicting effective and non-effective stations
H Tamoto, R dos Santos Gioria… - Geoenergy Science and …, 2023 - Elsevier
Formation pressure testing acquisition is a fundamental input to reservoir management and
evaluation since pressure measurement is used in several steps of wells exploration and …
evaluation since pressure measurement is used in several steps of wells exploration and …
Formation permeability estimation using mud loss data by deep learning
Y Abdollahfard, SM Mirabbasi, M Ahmadi, S Ashoorian… - 2024 - researchsquare.com
Permeability estimation plays an essential role in the assessment of reservoirs and
hydrocarbon extraction. There are various methods to evaluate the formation and estimate …
hydrocarbon extraction. There are various methods to evaluate the formation and estimate …
Reservoir Parameters Estimation with Some Log Curves of Qiongdongnan Basin Based on LS-SVM Method
T Liu, H Xu, X Shi, X Qiu, Z Sun - Journal of Physics: Conference …, 2021 - iopscience.iop.org
Reservoir porosity and permeability are considered as very important parameters in
characterizing oil and gas reservoirs. Traditional methods for porosity and permeability …
characterizing oil and gas reservoirs. Traditional methods for porosity and permeability …
Research Progress and Advances in Monitoring the Integrity of Oil and Gas Wellbores
H Song, M Xu, J Zhang, Z Shi, Y Chen - International Core Journal of …, 2024 - airitilibrary.com
Maintaining the integrity of wellbores is crucial for the success of oil and gas production,
especially for carbon capture and storage (CCS) and geothermal projects. This review …
especially for carbon capture and storage (CCS) and geothermal projects. This review …
[PDF][PDF] Laboratory Evaluation of Dynamic Load Response of Coaxial Cable Fabry-Perot Interferometer Strain Sensors for Carbon Sequestration Monitoring
Y Li, Z Wang, T Zhao - energy-proceedings.org
Either surface transportation line integrity monitoring or downhole injection well tubular and
rock formation integrity monitoring plays a crucial part in a geological carbon dioxide (CO2) …
rock formation integrity monitoring plays a crucial part in a geological carbon dioxide (CO2) …