Methodology to estimate key performance indicators in drilling operations through univariant statistical analysis

Main Article Content

Santiago Fernando Delgado-Velasco
Alexander Xavier Narváez-Curillo
Sergio Augusto Lira-González
Gustavo Raúl Pinto-Arteaga
José Eduardo Ubillús-Alcivar

Abstract

Key performance indicators play an important role in drilling operations since they facilitate the evaluation of their performance between wells with similar characteristics. Using the information from the wells drilled between 2015 and 2019 in eastern Ecuador, a methodology has been established to estimate key performance indicators by collecting qualitative and quantitative data from the final drilling reports. The present work compiles the information from the final drilling reports of 275 of the 699 wells drilled during the mentioned time interval, to establish standard data and behavior patterns during drilling operations in order to optimize future projects; To apply the methodology, the R Studio program was used, which has the necessary tools for statistical analysis and exploratory data analysis, without the volume of data being a limitation, facilitating the graphic interpretation of the behavior and variability of the data. The results of this research can be used as a reference in the planning of new wells with similar characteristics, as well as in the construction of new key performance indicators.

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How to Cite
Delgado-Velasco, S. F., Narváez-Curillo, A. X., Lira-González, S. A., Pinto-Arteaga, G. R., & Ubillús-Alcivar, J. E. (2021). Methodology to estimate key performance indicators in drilling operations through univariant statistical analysis. FIGEMPA: Investigación Y Desarrollo, 11(1), 68–75. https://doi.org/10.29166/revfig.v11i1.3117
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Artículos
Author Biographies

Santiago Fernando Delgado-Velasco, Universidad Central del Ecuador. Quito - Ecuador

Ingeniero de Petróleos

Universidad Central del Ecuador

sfdelgado@uce.edu.ec

ORCID: https://orcid.org/0000-0002-9061-7084

Alexander Xavier Narváez-Curillo, Universidad Central del Ecuador. Quito - Ecuador

Ingeniero de Petróleos

Universidad Central del Ecuador

axnarvaez@uce.edu.ec

ORCID: https://orcid.org/0000-0002-3443-6035

Sergio Augusto Lira-González, Universidad Central del Ecuador. Quito - Ecuador

Maestría en Ciencias en Modelación de Recursos Naturales de Petróleo y Gas

Universidad Central del Ecuador

sergiolira8786@gmail.com

ORCID: https://orcid.org/0000-0001-9424-0926

Gustavo Raúl Pinto-Arteaga, Universidad Central del Ecuador. Quito - Ecuador

Maestría en Producción de Hidrocarburos.

Universidad Central del Ecuador

grpinto@uce.edu.ec

ORCID: https://orcid.org/0000-0002-6912-8083

José Eduardo Ubillús-Alcivar, Escuela Politécnica Nacional. Quito - Ecuador

Escuela Politécnica Nacional

joseeduardou98@outlook.com

ORCID: https://orcid.org/0000-0001-5842-6408

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