The Experts below are selected from a list of 108 Experts worldwide ranked by ideXlab platform
Meysam Naderi - One of the best experts on this subject based on the ideXlab platform.
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Application of Optimized Least Square Support Vector Machine and Genetic Programming for Accurate Estimation of Drilling Rate of Penetration
International Journal of Energy Optimization and Engineering, 2018Co-Authors: Meysam Naderi, Ehsan KhamehchiAbstract:This article describes how the accurate estimation of the rate of penetration (ROP) is essential to minimize drilling costs. There are various factors influencing ROP such as formation rock, drilling fluid properties, wellbore geometry, type of Bit, Hydraulics, weight on Bit, flow rate and Bit rotation speed. This paper presents two novel methods based on least square support vector machine (LSSVM) and genetic programming (GP). Models are a function of depth, weight on Bit, rotation speed, stand pipe pressure, flow rate, mud weight, Bit rotational hours, plastic viscosity, yield point, 10 second gel strength, 10 minute gel strength, and fluid loss. Results show that LSSVM estimates 92% of field data with average absolute relative error of less than 6%. In addition, sensitivity analysis showed that factors of depth, weight on Bit, stand pipe pressure, flow rate and Bit rotation speed account for 93% of total variation of ROP. Finally, results indicate that LSSVM is superior over GP in terms of average relative error, average absolute relative error, root mean square error, and the coefficient of determination.
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drilling rate of penetration prediction and optimization using response surface methodology and bat algorithm
Journal of Natural Gas Science and Engineering, 2016Co-Authors: Mostafa Keshavarz Moraveji, Meysam NaderiAbstract:Abstract 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 penetration. Typical factors include formation properties, mud rheology, weight on Bit, Bit rotation speed, type of Bit, wellbore inclination, and Bit Hydraulics. In this paper, first, the simultaneous effect of six variables on penetration rate using real field drilling data has been investigated. Response surface methodology (RSM) was used to develop a mathematical relation between penetration rate and six factors. The important variables include well depth (D), weight on Bit (WOB), Bit rotation speed (N), Bit jet impact force (IF), yield point to plastic viscosity ratio (Y p /PV), 10 min to 10 s gel strength ratio (10MGS/10SGS). Next, bat algorithm (BA) was used to identify optimal range of factors in order to maximize drilling rate of penetration. Results indicate that the derived statistical model provides an efficient tool for estimation of ROP and determining optimum drilling conditions. Sensitivity study using analysis of variance shows that well depth, yield point to plastic viscosity ratio, weight on Bit, Bit rotation speed, Bit jet impact force, and 10 min to 10 s gel strength ratio have the greatest effect on ROP variation respectively. Cumulative probability distribution of predicted ROP shows that the penetration rate can be estimated accurately at 95% confidence interval. In addition, study shows that by increasing well depth, there is an uncertainty in selecting the jet impact force as the best objective function to determine the effect of Hydraulics on penetration rate.
Oteri, Vincent Akpojevwe - One of the best experts on this subject based on the ideXlab platform.
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Drilling optimization : drill Bit performance optimization using DROPS simulator ( Ekofisk/Eldfisk Field)
University of Stavanger Norway, 2010Co-Authors: Oteri, Vincent AkpojevweAbstract:Master's thesis in Petroleum engineeringTwo drilled Wells: Well A and Well B were analysed under the following input data; drilling parameter, survey data, lithology data and Bit information using DROPS simulator to showcase the Bit performance optimization potentials. Apparent Rock Strength Logs (ARSL) were generated automatically by the simulator for the two drilled wells to give an idea of how hard is the formatiom and the rate of penetration possible for the Bits. Interesting plots of the Apparent Rock Strength, Rate of Penetration, Weight on Bit, Revolution per minute, pump flow rate, Plastic Viscosity, mud Weight and Bit wear versus depth for the Well A and Well B were expressly presented in this project work. Appreciable cost per foot savings was made after the Bit performance optimization simulation have been performed and a much more better savings could have been made if actual figures and parameters were used rather than assumed. A better Bit selection was made using ROP, drilling time, Bit wear constant ( automatic evaluation by DROPS simulatior), Bit cost and cost per foot for selection criteria. Bit Hydraulics analysis as relevant to cutting removal was adequately explained and evaluated for each Bit used during the drilling in the Bit performance optimization using the DROPS simulator
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Drilling optimization : drill Bit performance optimization using DROPS simulator ( Ekofisk/Eldfisk Field)
University of Stavanger Norway, 2010Co-Authors: Oteri, Vincent AkpojevweAbstract:Two drilled Wells: Well A and Well B were analysed under the following input data; drilling parameter, survey data, lithology data and Bit information using DROPS simulator to showcase the Bit performance optimization potentials. Apparent Rock Strength Logs (ARSL) were generated automatically by the simulator for the two drilled wells to give an idea of how hard is the formatiom and the rate of penetration possible for the Bits. Interesting plots of the Apparent Rock Strength, Rate of Penetration, Weight on Bit, Revolution per minute, pump flow rate, Plastic Viscosity, mud Weight and Bit wear versus depth for the Well A and Well B were expressly presented in this project work. Appreciable cost per foot savings was made after the Bit performance optimization simulation have been performed and a much more better savings could have been made if actual figures and parameters were used rather than assumed. A better Bit selection was made using ROP, drilling time, Bit wear constant ( automatic evaluation by DROPS simulatior), Bit cost and cost per foot for selection criteria. Bit Hydraulics analysis as relevant to cutting removal was adequately explained and evaluated for each Bit used during the drilling in the Bit performance optimization using the DROPS simulator
Mostafa Keshavarz Moraveji - One of the best experts on this subject based on the ideXlab platform.
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drilling rate of penetration prediction and optimization using response surface methodology and bat algorithm
Journal of Natural Gas Science and Engineering, 2016Co-Authors: Mostafa Keshavarz Moraveji, Meysam NaderiAbstract:Abstract 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 penetration. Typical factors include formation properties, mud rheology, weight on Bit, Bit rotation speed, type of Bit, wellbore inclination, and Bit Hydraulics. In this paper, first, the simultaneous effect of six variables on penetration rate using real field drilling data has been investigated. Response surface methodology (RSM) was used to develop a mathematical relation between penetration rate and six factors. The important variables include well depth (D), weight on Bit (WOB), Bit rotation speed (N), Bit jet impact force (IF), yield point to plastic viscosity ratio (Y p /PV), 10 min to 10 s gel strength ratio (10MGS/10SGS). Next, bat algorithm (BA) was used to identify optimal range of factors in order to maximize drilling rate of penetration. Results indicate that the derived statistical model provides an efficient tool for estimation of ROP and determining optimum drilling conditions. Sensitivity study using analysis of variance shows that well depth, yield point to plastic viscosity ratio, weight on Bit, Bit rotation speed, Bit jet impact force, and 10 min to 10 s gel strength ratio have the greatest effect on ROP variation respectively. Cumulative probability distribution of predicted ROP shows that the penetration rate can be estimated accurately at 95% confidence interval. In addition, study shows that by increasing well depth, there is an uncertainty in selecting the jet impact force as the best objective function to determine the effect of Hydraulics on penetration rate.
Thomas Ongau Miyora - One of the best experts on this subject based on the ideXlab platform.
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Modelling and optimization of geothermal drilling parameters : a case study of well MW-17 in Menengai Kenya
2014Co-Authors: Thomas Ongau MiyoraAbstract:Several factors come into play when a drill Bit is crushing the rock at the bottom of the hole. To effectively drill geothermal wells, these factors must be carefully considered and combined in an optimum manner. The characteristic of geothermal formations is such that it is composed of different layers of rocks alternating from the surface to the final depth. Some rocks are highly temperature altered while others are highly fractured and unconsolidated. A careful approach has to be devised while drilling through the different sections to avoid problems which lead to delays in drilling. At the same time drilling parameters have to be applied according to the rock types in such a way that the well is drilled in the shortest time possible and in the most cost effective manner. The following factors have been mathematically modelled by Multiple Linear Regression and shown how they affect the overall drilling rate: Formation strength, Depth, Formation compaction, Pressure differential, Bit diameter and Weight on Bit (WOB), Bit rotation (RPM), and Bit Hydraulics. This modelling approach has been adapted for geothermal drilling from the Oil and Gas drilling as first applied by Bourgoyne and Young. Optimization of WOB and RPM showed most of these parameters are in some cases applied too low and in others too high. Data captured while drilling of well MW-17 in Menengai geothermal field was used in making the drilling model. A combination of Excel and Matlab was used in the data analysis.
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Modelling and Optimization of Geothermal Drilling Parameters. A case study of well MW-17 in Menengai Kenya
2014Co-Authors: Thomas Ongau MiyoraAbstract:Several factors come into play when a drill Bit is crushing the rock at the bottom of the hole. To effectively drill geothermal wells, these factors must be carefully considered and combined in an optimum manner. The characteristic of geothermal formations is such that it is composed of different layers of rocks alternating from the surface to the final depth. Some rocks are highly temperature altered while others are highly fractured and unconsolidated. A careful approach has to be devised while drilling through the different sections to avoid problems which lead to delays in drilling. At the same time drilling parameters have to be applied according to the rock types in such a way that the well is drilled in the shortest time possible and in the most cost effective manner. The following factors have been mathematically modelled by Multiple Linear Regression and shown how they affect the overall drilling rate: Formation strength, Depth, Formation compaction, Pressure differential, Bit diameter and Weight on Bit (WOB), Bit rotation (RPM), and Bit Hydraulics. This modelling approach has been adapted for geothermal drilling from the Oil and Gas drilling as first applied by Bourgoyne and Young. Optimization of WOB and RPM showed most of these parameters are in some cases applied too low and in others too high. Data captured while drilling of well MW-17 in Menengai geothermal field was used in making the drilling model. A combination of Excel and Matlab was used in the data analysis.Það eru margir þættir sem koma við sögu þegar borkróna er að mylja bergið í botninum á jarðhitaholum. Til að ná sem bestum árangri við borunina verður að greina þessa þætti og stilla til að ná fram hámarks afköstum. Eiginleikar jarðvegsmyndana á jarðhitasvæðum einkennast af mismunandi bergi sem liggja í lögum frá yfirborði niður í botn borholunnar við jarðhitageyminn. Í sumu lögum hefur bergið þést vegna áhrifa hita og í öðrum hefur það sprungið og gliðnað. Til að koma í veg fyrir vandamál sem geta komið upp þegar borað er í gegnum mismunandi lög þarf að setja fram nákvæma verkáætlun. Jafnframt þarf að ákvarða helstu kennistærðir með tillit til þessar berglaga þannig að bortíminn verði sem stystur og hagkvæmastur. Í þessu verkefni hefur verið sett fram borhraðalíkan sem inniheldur breytistærðir eins og styrk bergs, dýpi, bergþjöppun, þrýstifall og vökvaflæði borholuvökva, þvermál borkrónu, snúningshraða (RPM) og þyngd á krónu (WOB). Fastar líkansins eru síðan ákvarðaðir með aðhvarfsgreiningu út frá mældum gögnum. Líkanið var fyrst sett fram af Bourgoyne og Young og þróað fyrir borun á olíu og gasi en í þessu verkefni hefur það verið aðlagað að borun á jarðhitasvæðum. Borhraðalíkanið var stillt af og prófað með gögnum sem hefur verið safnað við borun á holu MW-17 á Menengai jarðhitasvæðinu í Kenía. Niðurstöður bestunar á tveimur ákvörðunarbreytunum þ.e. snúningshraða (RPM) og þyngd á krónu (WOB) sýndu að stillingar á þessum ákvörðunarbreytum voru stundum of háar og stundum of lágar. Forritin Matlab og Excel eru notuð til að greina gögnin og setja fram líkanið.United Nations University Geothermal Training Progra
G.a. Chukwu - One of the best experts on this subject based on the ideXlab platform.
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Bit Hydraulics analysis for efficient hole cleaning
SPE Western Regional Meeting, 1996Co-Authors: G.a. ChukwuAbstract:Hydraulic horsepower and jet impact force are two criteria used to optimize drilling Hydraulics. An optimized drilling Hydraulics program can lead to good bottom hole cleaning, resulting to increase in penetration rate. Experiments on bottom hole cleaning with a three nozzle Bit and a two nozzle Bit were performed using an in house flow loop drilling simulator for vertical or near vertical wellbores to investigate the pressure and flow parameters that contribute to efficient borehole cleaning. A comparative analysis of hydraulic horsepower (HHP) and jet impact force (JIF) was made to study the impact of each force on hole cleaning. Experimental results show that increase in drillstring rotational speed reduces apparent slip velocity but increases drag coefficient on the transported cuttings. Optimized values of the ratio of the pressure loss across the Bit nozzles to the circulating pressure loss for both the hydraulic horsepower and jet impact force are presented in this work as new and important criteria for analyzing drilling Hydraulics.
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Bit Hydraulics analysis for efficient hole cleaning
SPE Western Regional Meeting, 1996Co-Authors: G.a. ChukwuAbstract:Hydraulic horsepower and jet impact force are two criteria used to optimize drilling Hydraulics. An optimized drilling Hydraulics program can lead to good bottom hole cleaning, resulting to increase in penetration rate. Experiments on bottom hole cleaning with a three nozzle Bit and a two nozzle Bit were performed using an in house flow loop drilling simulator for vertical or near vertical wellbores to investigate the pressure and flow parameters that contribute to efficient borehole cleaning. A comparative analysis of hydraulic horsepower (HHP) and jet impact force (JIF) was made to study the impact of each force on hole cleaning. Experimental results show that increase in drillstring rotational speed reduces apparent slip velocity but increases drag coefficient on the transported cuttings. Optimized values of the ratio of the pressure loss across the Bit nozzles to the circulating pressure loss for both the hydraulic horsepower and jet impact force are presented in this work as new and important criteria for analyzing drilling Hydraulics.
