Optimization Of The Drilling Parameters In Low Angle Wells By The Application Of Statistical Analysis

Published in: Industry, Innovation, and Infrastructure for Sustainable Cities and Communities: Proceedings of the 17th LACCEI International Multi-Conference for Engineering, Education and Technology
Date of Conference: July 24-26, 2019
Location of Conference: Montego Bay, Jamaica
Authors: Romel Erazo-Bone (Escuela Superior Politécnica del Litoral, EC)
Kenny Escobar-Segovia (Escuela Superior Politécnica del Litoral, EC)
Danilo Arcentales-Bastidas (Escuela Superior Politécnica del Litoral, EC)
Xavier Vargas Gutierres (, EC)
Álvaro Arreaga-Arevalo (Escuela Superior Politécnica del Litoral, EC)
Adriana Roman-Aguilar (Escuela Superior Politécnica del Litoral, EC)
Kenny Escobar-Segovia (Universidad Espíritu Santo, EC)
Romel Erazo-Bone (Universidad Estatal Península de Santa Elena, EC)
(Escuela Superior Politécnica del Litoral)
Full Paper: #78

Abstract:

In drilling wells of two sections with low angle in Tiputini Field-Block 43, have been implemented several hole cleaning practices, handling of different drilling parameters and drilling fluid properties in order to get an optimal hole cleaning. This study pretends to determinate and propose the operational ranges of each parameter involved in drilling and hole cleaning through a statistic analysis using the main variables that participate during the drilling and cuttings transport in intermediate section of 12¼” in the next wells with similar characteristic. For the variable selection that will use in the statistic study, it was considered three operational aspects: drilling, drilling fluid and hole cleaning. By means of statistic analysis was determined a regression model that fits the data and describe its behaviour. In addition, it was made comparative graphs with each variable, determining the effect of drilling time in each formation. It was statistically determined that the drilling parameters that have the greatest influence in hole cleaning are the gallonage and ROP which will help to optimize the drilling operation of new wells.