1887

Abstract

Summary

Predicting reservoir properties, such as porosity and permeability, is one of the major tasks of a petrophysicist. But since the most reliable information about these properties can be obtained only by studying core plugs, one must ensure, that well logs and core data are properly depth-aligned before fitting any statistical model.

Unfortunately, specifics of the coring process can lead to depths divergence between them of up to several meters and an auxiliary procedure called core-to-log matching is required to determine the actual depths of coring intervals. Currently, the matching is performed manually, since there is still no option to do it automatically in many popular commercially available software packages.

In this paper, we propose a novel algorithm for core-to-log matching, which automatically shifts coring intervals so that the correlation between well and core logs is maximized. On the example of 12 wells, we show that the algorithm not only outperforms a petrophysicist by a large margin but also works more than two orders of magnitude faster. The algorithm is implemented in an open-source PetroFlow framework available at https://github.com/gazprom-neft/petroflow.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.202032078
2020-11-30
2024-04-28
Loading full text...

Full text loading...

References

  1. Agrinier, P. and Agrinier, B.
    [1994] On the knowledge of the depth of a rock sample from a drilled core. Comptes rendus de l’Academie des sciences. Serie 2, Mecanique, physique, chimie, sciences de l’univers, sciences de la terre.
    [Google Scholar]
  2. Fontana, E., Iturrino, G. and Tartarotti, P.
    [2010] Depth-shifting and orientation of core data using a core–log integration approach: A case study from ODP–IODP Hole 1256D Original Research. Tectonophysics.
    [Google Scholar]
  3. Khudorozhkov, R., Kuvaev, A. and Kozhevin, A.
    [2019] PetroFlow library for data science research of well data.
    [Google Scholar]
  4. Kraft, D.
    [1988] A software package for sequential quadratic programming. Tech. Rep. DFVLR-FB 88-28, DLR German Aerospace Center – Institute for Flight Mechanics, Koln, Germany.
    [Google Scholar]
  5. Nadezhdin, O., Zairullina, E., Efimov, D. and Savichev, V.
    [2014] Algorithms of Automatic Core-Log Depth-Shifting in Problems of Petrophysical Model Construction. SPE Russian Oil and Gas Exploration and Production Technical Conference and Exhibition.
    [Google Scholar]
  6. Petersilye, N., Poroskun, V. and Yatsenko, G.
    [2003] Methodical recommendations on calculation of oil and gas reserves originally in place by volumetric method.
    [Google Scholar]
  7. Virtanen, P., Gommers, R., Oliphant, T.E., Haberland, M., Reddy, T., Cournapeau, D., Burovski, E., Peterson, P., Weckesser, W., Bright, J., van der Walt, S.J., Brett, M., Wilson, J., Jarrod Millman, K., Mayorov, N., Nelson, A.R.J., Jones, E., Kern, R., Larson, E., Carey, C., Polat, İ., Feng, Y., Moore, E.W., Vand erPlas, J., Laxalde, D., Perktold, J., Cimrman, R., Henriksen, I., Quintero, E.A., Harris, C.R., Archibald, A.M., Ribeiro, A.H., Pedregosa, F., van Mulbregt, P. and Contributors, S.
    .. [2019] SciPy 1.0–Fundamental Algorithms for Scientific Computing in Python. arXiv e-prints, arXiv:1907.10121.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.202032078
Loading
/content/papers/10.3997/2214-4609.202032078
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error