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

作     者：Yuri Soares Pinheiro Lucas Campos Vieira Andreas Nascimento Francisco de Assis Souza dos Santos Mauro Hugo Mathias Gerhard Thonhauser Asad Elmgerbi Julian Hunt 

作者机构：Department of Engineering and Technology Petroleum Engineering Programs Universidade Federal do Espirito Santo (UFES/DETEC) Sao Mateus Brazil Department of Computational and Electronics Universidade Federal do Espirito Santo (UFES/DCEL) Sao Mateus Brazil Department of Petroleum Engineering Chair of Drilling and Completion Engineering Montanuniversitä t Leoben (MUL/DPE/CDC) Leoben Austria International Institute of Applied System Analysis (IIASA/ASA-ENE) Laxenburg Austria Mechanic Department Faculty of Engineering Universidade Estadual Paulista (UNESP/FEG-DME/PRH48-ANP) Guaratingueta Brazil 

出 版 物：《Journal of Software Engineering and Applications》 (软件工程与应用（英文）)

年 卷 期：2019年第12卷第4期

页      面：61-71页

学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

主　　题：Trend Curves Web OS Optimization Pre-Salt Petroleum 

摘      要：Petroleum and Natural Gas still represent a considerable share in terms of energy consumption in the current global matrix, so that its exploration/exploitation is present in the market and driving activities in locations of specific complexities, as the ones along unconventional hydrocarbon resources from the Brazilian pre-salt. The daily cost of well drilling under harsh conditions can exceed US $1 million a day, turning any type of downtime or necessary maintenance during the activities to be very costly, moment in which processes optimization starts to be a key factor in costs reduction. Thus, new technologies and methods in terms of automating and optimizing the processes may be of great advantages, having its impact in total related project costs. In this context, the goal of this research is to allow a computation tool supporting achieving a more efficient drilling process, by means of drilling mechanics parameters choosiness aiming rate of penetration (ROP) maximization and mechanic specific energy (MSE) minimization. Conceptually, driven by the pre-operational drilling test curve trends, the proposed system allows it to be performed 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 has a browser and internet connection. It allows processing the drilling parameters supplied and feed into it, issuing outcomes with optimum values in a faster and precise way, allowing reducing operating time.