Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/124708
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Type: Conference paper
Title: Application of Exploratory Data Analytics EDA in Coal Seam Gas wells with Progressive Cavity Pumps PCPs
Author: Saghir, F.
Gonzalez Perdomo, M.E.
Behrenbruch, P.
Citation: Proceedings of the 2019 SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition (APOGCE), 2019, pp.1-10
Publisher: Society of Petroleum Engineers
Issue Date: 2019
ISBN: 9781613996478
Conference Name: SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition (29 Oct 2019 - 31 Oct 2019 : Bali, Indonesia)
Statement of
Responsibility: 
Fahd Saghir, M. E. Gonzalez Perdomo, and Peter Behrenbruch
Abstract: Artificial lift methods typically drive Coal Seam Gas (CSG) wells, and Progressive Cavity Pump (PCP) isthe preferred method of lift with Australian CSG operators. CSG wells in Australia are typically equippedwith necessary instrumentation and automation systems to provide real-time data gathering for monitoringand control purposes. Real-time data gathered from CSG wells presents an opportunity to better understandPCP performance by identifying anomalous pump behavior. However, before undertaking any real-time analytics exercise, it is pertinent to carry out Exploratory DataAnalytics (EDA) to understand time series data behavior and extract relevant features; and this exerciseis particularly important with multi-variate data sets. Obtaining significant data features from multivariatetime series data can help define which analytics and machine learning methods could be exploited to analyzePCP performance in near real time. This paper will discuss EDA methodologies that can help streamline time-series data normalization andfeature extraction techniques. A three (3) year time-series dataset, gathered from forty-two (42) CSG wells,will be used to showcase EDA methodologies utilized as part of this research. All EDA activities coveredin this paper are based on the Python programming language and its supporting libraries.
Description: SPE-196528-MS
Rights: Copyright 2019, Society of Petroleum Engineers
DOI: 10.2118/196528-ms
Published version: https://www.onepetro.org/conferences/SPE/19APOG
Appears in Collections:Aurora harvest 4
Australian School of Petroleum

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