1887

Abstract

Summary

Drilling process geological monitoring becomes more critical due to horizontal drilling percentage increase over the last two decades. That results in a growth of LWD operative interpretation demand and makes necessary to provide the formation evaluation data as soon as possible. This paper represents the automation of LWD interpretation process with automatic data import and export via the remote server. Decreasing the process life of operative interpretation we manage to increase the geosteering efficiency. This work examines formation evaluation and calculation of the mineral volumetric fractions. Collector, lithology and formation fluid type are determined by the cut-off values method. Data transmission (both import and export) is performed via the classified remote server WITSML. The represented approach has shown its efficiency on practice. It makes log quality control more effective and optimizes the workflow by cutting down unproductive routine operations.

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/content/papers/10.3997/2214-4609.202154020
2021-05-24
2024-04-26
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References

  1. 1.GalkinaA., YalaevT., RakhimovT., LisitsynaM. [2020] Geosteering based on integration of LWD, mud logging and drilling data using machine learning. In: SPE Russian Petroleum Technology Conference, 26–29 October 2020, Online (Paper SPE 201945)
    [Google Scholar]
  2. 2.ВендельштейнБ.Ю., ДобрынинВ.М., КожевниковД.А. [1991] Петрофизика. Учебник для вузов. Недра, Москва, 368 с.
    [Google Scholar]
  3. 3.RomantsovA.S., GalechyanA.M., KapsenkovV.V. [2020] Automation of LWD interpretation. In: Data Science in Oil & Gas (EAGE), 19–21 October 2020, Online
    [Google Scholar]
  4. 1.GalkinaA., YalaevT., RakhimovT., LisitsynaM. [2020] Geosteering based on integration of LWD, mud logging and drilling data using machine learning. In: SPE Russian Petroleum Technology Conference, 26–29 October 2020, Online (Paper SPE 201945)
    [Google Scholar]
  5. 2.VendelsteinB.Yu., DobryninV.M., KozhevnikovD.A. [1991] Petrophysics. Textbook for higher education. Nedra, Moscow, 368 p. [in Russian]
    [Google Scholar]
  6. 3.RomantsovA.S., GalechyanA.M., KapsenkovV.V. [2020] Automation of LWD interpretation. In: Data Science in Oil & Gas (EAGE), 19–21 October 2020, Online
    [Google Scholar]
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