Estimation of The Wells Hydrodynamic Drag Level Based on Wells Geophysical Survey Data

DOI

10.2991/isees-19.2019.145How to use a DOI?

Keywords

production and injection wells; cross-correlation function; flooding; geological-statistical modeling; correlation.

Abstract

Based on the generalization of different groups of fields of the terrigenous strata of the lower Cretaceous age of Western Siberia flooding experience, models are obtained that allow to assess the degree of hydrodynamic interaction of producing and injection wells, reflected by the maximum value of the cross-correlation function determined by analyzing the time series of production and injection wells. An algorithm for predicting the values of the cross-correlation function using the geophysical studies of wells and distances between wells data is proposed. It also allows making justifiable management decisions when choosing measures to identify and improve flooding systems in different geological conditions of objects.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - L.S. Kuleshova
AU  - V.V. Mukhametshin
PY  - 2019/08
DA  - 2019/08
TI  - Estimation of The Wells Hydrodynamic Drag Level Based on Wells Geophysical Survey Data
BT  - Proceedings of the International Symposium "Engineering and Earth Sciences: Applied and Fundamental Research" dedicated to the 85th anniversary of H.I. Ibragimov (ISEES 2019)
PB  - Atlantis Press
SP  - 99
EP  - 101
SN  - 2590-3217
UR  - https://doi.org/10.2991/isees-19.2019.145
DO  - 10.2991/isees-19.2019.145
ID  - Kuleshova2019/08
ER  -