DEVELOPMENT OF SAND PRODUCTION PREDICTION MODELS TO SUPPORT THE RISK MITIGATION DURING OIL AND GAS PRODUCTION
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Date
2021-05
Authors
Imankulova, Kamshat
Journal Title
Journal ISSN
Volume Title
Publisher
Nazarbayev University School of Engineering and Digital Sciences
Abstract
For the normal operation of the equipment, it is necessary to deal with sand phenomena at
all stages of production. Because the particles of sands can fall on the bottom of the well, can
destroy the layers, cause traffic jams and collapses in trunk. These damages can lead to a complete
failure of the equipment, losses in profit and in some cases can provide risk even to the life of
employees. As a result, any sand occurrences must be eliminated as soon as possible.
The main purpose of this work is to study the main geomechanical parameters of the
formation of sanding, to identify their relationship with failure occurrence in oil-wells and
maximally accurate predict it to prevent the sand phenomena. According to the above, a simulation
method using the results of real oil field observation was developed. A detailed mathematical
calculation is provided for estimating the sand failure reference to the multivariate linear regression
method. Based on the priority impact of parameters for high sanding occurrence a template of
Model in GeNIe software according to the Bayesian probability to predict the appearance of failure
is provided. As a result, conclusions are drawn and recommendations are given to ensure
probability studies. In future, the model of GeNIe can be updated efficiently for the widely used in
real oil field for engineers as a guide to know the risk of sand occurrences.
Description
Keywords
GeNIe, sand phenomena, Research Subject Categories::TECHNOLOGY, Type of access: Gated Access
Citation
Imankulova, K. (2021). Development of Sand Production Prediction Models to Support the Risk Mitigation During Oil and Gas Production (Unpublished master's thesis). Nazarbayev University, Nur-Sultan, Kazakhstan