ANALYSIS AND DATA PROCESSING SYSTEMS

Continuous monitoring of production is associated with production, processing and storage of a huge array of field, field geophysical and field hydrodynamic data on the wellbore network. The last decades in field geophysics and related methods of monitoring the development of fields in Western Siberia have seen a rapid growth in the volume of information received about the processes occurring in the well-reservoir system and near the well space. The reference networks of the geophysical and hydrodynamic control over the development of reserves at the field are not only continuously growing (due to the effect of objective factors on the disposal of wells from the existing fund in the later stages of operation). And since 2011, the transition to more sophisticated methods of direct high-frequency data recording using telemetry technologies in the existing well stock (TMS) is being carried out in order to meet the needs of a wider range of practical interests. This leads to high growth rates of digital field data, characterized by continuity in time series, and the need to automate the repetitive elements of the expert analysis and interpretation algorithm. Thus, the number of requests for digital data is growing no less rapidly. With small amounts of data, and / or limited time series, an experienced expert is not difficult to extract useful information from them. But for the effective use of volumetric data sets and obtaining qualitatively new results on this basis, the task of creating adequate automated methods of complex analysis and processing is an urgent task. In this case, the automated extraction of useful information should be formalized, occur uniformly and objectively. One of the most important problems in the analysis of TMS continuous records is the recognition of periods of stable operation of the required set of system meters, the identification and classification of typical modes of operation of wells for long one-dimensional and multidimensional time series of physical observations, recognition of the event anomaly, separation of physical and technological anomalies of the physical field in the well.

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