1887

Abstract

Summary

Successful exploration and production of naturally fractured formations are highly dependent on methods for fracture zones identification and distribution along the studied object. To develop reliable geological model of fractured reservoir, one should know such specific parameters as their size, aperture, distribution, orientation etc. According to the objectives, which stand in front of fracture analysis from different multi-scale information, authors developed a special type of representation, called “the Chess Matrix”.

The key objective of Matrix is in providing quick and essential informative basis for efficient brainstorming and analysis.

The Matrix is a structured two-dimensional area, where each element, cell, is reserved for a certain type of information. For easier understanding, provided matrix was adapted to the view of chessboard with letters and numbers as cells’ coordinates. This matrix could be used, from the one hand, as a tool for data analysis and integration, on the other hand – quality controller of the logic among the data.

Using Matrix assumes flexible approach for input information. The main condition is the presence of explicit or supposed logic between events or features composing its cells: by genesis, scale of physics of the certain process etc.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201901302
2019-06-03
2024-04-24
Loading full text...

Full text loading...

References

  1. BelonovskayaL.G.
    2006. Fractured rocks and fundamentals of fractured reservoirs exploration developed in VNIGRI. Theory and practice.
    [Google Scholar]
  2. CanningA., Malkin
    . 2009. Azimuthal AVA Analysis Using Full-Azimuth3DAngle Gathers: SEG, Houston, International Explosition and Annual Meeting.
    [Google Scholar]
  3. GuyH.
    2014. Spence and others. Advances in the study of naturally fractured hydrocarbon reservoirs: a broad integrated interdisciplinary applied topic. Advances in the study of naturally fractured reservoirs. Published by The Geological Society. London.
    [Google Scholar]
  4. GoncharovM.A., TalitskyV.G., FrolovaN.
    2005. Introduction to Tectonophysics. KDU. Moscow. 496.
    [Google Scholar]
  5. HorvathF., DulicI., VrankovicA., KoroknaiB., TothT., WorumG., KovacsG.
    2018. Overview of geologic evolution and hydrocarbon generation of the Pannonian Basin. Interpretation, February.
    [Google Scholar]
  6. EzhovK., ArsibekovA., DubinyaN
    . Paper SPE 187821, presented on SPE Russian Petroleum Technology Conference 2017. Application of special well logging techniques for geomechanical model improvement in naturally fractured reservoirs.
    [Google Scholar]
  7. c YaG, Poletaev I, Rumjanceva EF
    . 1986. Osnovi lineamentnoi tektoniki. Moskva. Nedra. 140.
    [Google Scholar]
  8. Koren, Z., I.Ravve, E.Ragoza, A.Bartana and D.Kosloff
    , 2008, Full-azimuth angle domain imaging: 78th Annual International Meeting, SEG, Expanded Abstracts, 2221–2225.
    [Google Scholar]
  9. Mark D.Zoback
    . 2007. Reservoir Geomechanics. CambridgeUniversity Press.
    [Google Scholar]
  10. OlnevaT.V., SeminD.G., BogatyrevI.Yu., Ezhov, Inozemtsev A.N.
    2017. Anisotropic Vector Maps Interpertation Based on Seismic,Borehole and Geological Regional Data Geofizika4, 53–61.
    [Google Scholar]
  11. Van Golf-RachtT.D.
    1982. Fundamentals of fractured reservoir engineering. Elsevier Scientific publishing company. Amsterdam – Oxford – New York.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201901302
Loading
/content/papers/10.3997/2214-4609.201901302
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