Automatization of collecting and preparation of telemetry data for well testing using ‘virtual flowmeter’

UDK: 681.518:622.276

Key words: well testing, telemetry, virtual flow meter

Authors: A.A. Pashali, M.A. Aleksandrov, A.G. Klimentiev, I.R. Yamalov (Rosneft Oil Company PJSC, RF, Moscow), A.S. Topolnikov, A.V. Zhonin, A.V. Kolonskikh, V.G. Mikhaylov (RN-UfaNIPIneft LLC, RF, Ufa)

In recent years the application of high-precision thermo-manometric systems (HTMS) for resolving problems connected with monitoring of field development is widely distributed. The technologies of application of telemetry data (pressure, temperature, liquid rate) for monitoring of reservoir parameters, which do not need for special stops of wells and application of additional metering equipment are united under the name automatic well testing (abbreviated auto-GDIS). The paper is dedicated to implementation of algorithms of prior preparation of telemetry data for subsequent well testing interpretation. The algorithms include selection of conditional pressure data, filtration (reduction and smoothing), marking the informative intervals (curves of pressure drop and restoration) and liquid rate calculation of oil well on the base on the indirect indicators of its operation work (field measurements, characteristics of pumping equipment, parameters of ESP control station). The algorithms form the basis of calculating module for data preparation for well testing interpretation. On the basis of parameters of telemetry and ESP control station received from field databases it forms the rating of wells and informative intervals, which are the most interest for subsequent interpretation. The feature of realization of algorithms is that the prior preparation of data can be done automatically with given regularity by user. In this case the results of calculations – rating of wells and intervals for subsequent interpretation – are upd ated upon receipt of new data from telemetry and ESP control stations. The outlook of realization of the algorithms in corporative se t of IT-products of Rosneft Oil Company is described.
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