Conception of a Web Operation System for Processing Petroleum Related Drilling Data: A Focus on Pre-Salt Real-Time Automation and Optimization

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APA

Elmgerbi, A., Thonhauser, G., Nascimento, A., Pinheiro, Y. S., Vieira, L. C., Souza dos Santos, F. D. A., Mathias, M. H., & Hunt, J. (2019). Conception of a Web Operation System for Processing Petroleum Related Drilling Data: A Focus on Pre-Salt Real-Time Automation and Optimization.

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@conference{842b365e2ef44616b9f68056bff6855a,
title = "Conception of a Web Operation System for Processing Petroleum Related Drilling Data: A Focus on Pre-Salt Real-Time Automation and Optimization",
abstract = "Petroleum and Natural Gas still represent a considerable share in terms ofenergy consumption in the current global matrix, so that its exploration/exploitationis present in the market and driving activities in locations of specificcomplexities, as the ones along unconventional hydrocarbon resourcesfrom the Brazilian pre-salt. The daily cost of well drilling under harsh conditionscan exceed US $1 million a day, turning any type of downtime or necessarymaintenance during the activities to be very costly, moment in whichprocesses optimization starts to be a key factor in costs reduction. Thus, newtechnologies and methods in terms of automating and optimizing the processesmay be of great advantages, having its impact in total related project costs. Inthis context, the goal of this research is to allow a computation tool supportingachieving a more efficient drilling process, by means of drilling mechanicsparameters choosiness aiming rate of penetration (ROP) maximization andmechanic specific energy (MSE) minimization. Conceptually, driven by thepre-operational drilling test curve trends, the proposed system allows it to beperformed with less human influences and being updateable automatically,allowing more precision and time reduction by selecting optimum parameters. A Web Operating System (Web OS) was designed and implemented,running in online servers, granting accessibility to it with any device that hasa browser and internet connection. It allows processing the drilling parameterssupplied and feed into it, issuing outcomes with optimum values in afaster and precise way, allowing reducing operating time.",
author = "Asad Elmgerbi and Gerhard Thonhauser and Andreas Nascimento and Pinheiro, {Yuri Soares} and Vieira, {Lucas Campos} and {Souza dos Santos}, {Francisco de Assis} and Mathias, {Mauro Hugo} and Julian Hunt",
year = "2019",
month = apr,
day = "10",
language = "English",

}

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TY - CONF

T1 - Conception of a Web Operation System for Processing Petroleum Related Drilling Data: A Focus on Pre-Salt Real-Time Automation and Optimization

AU - Elmgerbi, Asad

AU - Thonhauser, Gerhard

AU - Nascimento, Andreas

AU - Pinheiro, Yuri Soares

AU - Vieira, Lucas Campos

AU - Souza dos Santos, Francisco de Assis

AU - Mathias, Mauro Hugo

AU - Hunt, Julian

PY - 2019/4/10

Y1 - 2019/4/10

N2 - Petroleum and Natural Gas still represent a considerable share in terms ofenergy consumption in the current global matrix, so that its exploration/exploitationis present in the market and driving activities in locations of specificcomplexities, as the ones along unconventional hydrocarbon resourcesfrom the Brazilian pre-salt. The daily cost of well drilling under harsh conditionscan exceed US $1 million a day, turning any type of downtime or necessarymaintenance during the activities to be very costly, moment in whichprocesses optimization starts to be a key factor in costs reduction. Thus, newtechnologies and methods in terms of automating and optimizing the processesmay be of great advantages, having its impact in total related project costs. Inthis context, the goal of this research is to allow a computation tool supportingachieving a more efficient drilling process, by means of drilling mechanicsparameters choosiness aiming rate of penetration (ROP) maximization andmechanic specific energy (MSE) minimization. Conceptually, driven by thepre-operational drilling test curve trends, the proposed system allows it to beperformed with less human influences and being updateable automatically,allowing more precision and time reduction by selecting optimum parameters. A Web Operating System (Web OS) was designed and implemented,running in online servers, granting accessibility to it with any device that hasa browser and internet connection. It allows processing the drilling parameterssupplied and feed into it, issuing outcomes with optimum values in afaster and precise way, allowing reducing operating time.

AB - Petroleum and Natural Gas still represent a considerable share in terms ofenergy consumption in the current global matrix, so that its exploration/exploitationis present in the market and driving activities in locations of specificcomplexities, as the ones along unconventional hydrocarbon resourcesfrom the Brazilian pre-salt. The daily cost of well drilling under harsh conditionscan exceed US $1 million a day, turning any type of downtime or necessarymaintenance during the activities to be very costly, moment in whichprocesses optimization starts to be a key factor in costs reduction. Thus, newtechnologies and methods in terms of automating and optimizing the processesmay be of great advantages, having its impact in total related project costs. Inthis context, the goal of this research is to allow a computation tool supportingachieving a more efficient drilling process, by means of drilling mechanicsparameters choosiness aiming rate of penetration (ROP) maximization andmechanic specific energy (MSE) minimization. Conceptually, driven by thepre-operational drilling test curve trends, the proposed system allows it to beperformed with less human influences and being updateable automatically,allowing more precision and time reduction by selecting optimum parameters. A Web Operating System (Web OS) was designed and implemented,running in online servers, granting accessibility to it with any device that hasa browser and internet connection. It allows processing the drilling parameterssupplied and feed into it, issuing outcomes with optimum values in afaster and precise way, allowing reducing operating time.

M3 - Paper

ER -