Algorithms of multi-phase flow-metering results processing applied to information support of smart oil-field

Authors: A.N. Cheremisin, S.V. Kostuchenko (TNNC LLC, RF, Tyumen), K.V. Toropetskiy (Novosibirsk State University, RF, Novosibirsk), A.E. Ryazancev (SibGoePribor LLC, RF, Novosibirsk), E.E. Lukyanov Scientific Production Enterprise of Geophysical Equipment “Looch”, RF, Novosibirsk), N.G. Zagoruyko (Sobolev Institute of Mathematics, Siberian Branch of RAS, RF, Novosibirsk)
Key words: smart-well, Smart-field, oilfield data, measurement accuracy,  information analysis, numerical modeling, multi-phase flow-metering.
Smart-oilfield problems of data acquiring and processing are considering in this article. One of the main problems of feedback creation for oil and gas production control is problem of field data accuracy. One of the possible ways to data accuracy estimation based onto information analysis of data flow incoming from measurer is shown. We considered all keys factor influencing onto field data accuracy. The methods and algorithms allow both improving the accuracy and decreasing uncertainties in oilfield data. It can be helped to make different geological and technological solutions and also can increase knowledge of oilfield as hydrodynamics object.

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