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Machine learning methods applied to drilling rate of penetration prediction and optimization-A review
LFFM Barbosa, A Nascimento, MH Mathias… - Journal of Petroleum …, 2019 - Elsevier
Drilling wells in challenging oil/gas environments implies in large capital expenditure on
wellbore's construction. In order to optimize the drilling related operation, real-time decisions …
wellbore's construction. In order to optimize the drilling related operation, real-time decisions …
Real-time determination of rheological properties of spud drilling fluids using a hybrid artificial intelligence technique
The rheological properties of the drilling fluid play a key role in controlling the drilling
operation. Knowledge of drilling fluid rheological properties is very crucial for drilling …
operation. Knowledge of drilling fluid rheological properties is very crucial for drilling …
A new methodology for optimization and prediction of rate of penetration during drilling operations
Predictive models have been widely used in different engineering fields, as well as in
petroleum engineering. Due to the development of high-performance computer systems, the …
petroleum engineering. Due to the development of high-performance computer systems, the …
Drilling rate of penetration prediction and optimization using response surface methodology and bat algorithm
MK Moraveji, M Naderi - Journal of Natural Gas Science and Engineering, 2016 - Elsevier
Rate of penetration (ROP) prediction is crucial for drilling optimization because of its role in
minimizing drilling costs. There are many factors, which determine the drilling rate of …
minimizing drilling costs. There are many factors, which determine the drilling rate of …
Integrating advanced soft computing techniques with experimental studies for pore structure analysis of Qingshankou shale in Southern Songliao Basin, NE China
Evaluating pore structure of unconventional shale reservoirs enables us to determine their
productivity, allowing for better operational decisions. Despite extensive studies in this field …
productivity, allowing for better operational decisions. Despite extensive studies in this field …
[HTML][HTML] Estimation of oil recovery factor for water drive sandy reservoirs through applications of artificial intelligence
Hydrocarbon reserve evaluation is the major concern for all oil and gas operating
companies. Nowadays, the estimation of oil recovery factor (RF) could be achieved through …
companies. Nowadays, the estimation of oil recovery factor (RF) could be achieved through …
A robust rate of penetration model for carbonate formation
A Al-AbdulJabbar, S Elkatatny… - Journal of …, 2019 - asmedigitalcollection.asme.org
During the drilling operations, optimizing the rate of penetration (ROP) is very crucial,
because it can significantly reduce the overall cost of the drilling process. ROP is defined as …
because it can significantly reduce the overall cost of the drilling process. ROP is defined as …
Drilling rate of penetration prediction of high-angled wells using artificial neural networks
Predicting the rate of penetration (ROP) is a significant factor in drilling optimization and
minimizing expensive drilling costs. However, due to the geological uncertainty and many …
minimizing expensive drilling costs. However, due to the geological uncertainty and many …
Development of new permeability formulation from well log data using artificial intelligence approaches
T Moussa, S Elkatatny… - Journal of …, 2018 - asmedigitalcollection.asme.org
Permeability is a key parameter related to any hydrocarbon reservoir characterization.
Moreover, many petroleum engineering problems cannot be precisely answered without …
Moreover, many petroleum engineering problems cannot be precisely answered without …
Application of artificial intelligence techniques to estimate the static Poisson's ratio based on wireline log data
S Elkatatny - Journal of Energy Resources …, 2018 - asmedigitalcollection.asme.org
Static Poisson's ratio (ν static) is a key factor in determine the in-situ stresses in the reservoir
section. ν static is used to calculate the minimum horizontal stress which will affect the …
section. ν static is used to calculate the minimum horizontal stress which will affect the …