Outlining and tracing of faults in Gazanbulaq— Ziyadkhan area by attribute analysis of 3D seismic survey data
Keywords:attribute analysis, 3D seismic survey, Maykop deposits (Gazanbulaq I and Gazanbulaq II horizons), cube of attributes, Gazanbulaq—Ziyadkhan area
The paper is devoted to more detailed study of geological setting of Gazanbulaq, Ziyadkhan and North Ziyadkhan structures by 3D seismic survey data, attribute analysis in particular. At the same time, this study aims to establish more efficient attributes for outlining and tracing of disjunctive dislocations within the limits of Yevlakh-Agjhabedi trough of Middle Kur depression of Azerbaijan. The paper describes the general data on Gazanbulaq field, which is one of the oldest non-anticline fields of Azerbaijan. The history of geological and geophysical studies covering the field is also considered. Despite that the field has been repeatedly studied by use of various techniques some aspects of geological setting have not been studied and therefore the area has been covered by 3D seismic survey in 2014. The results acquired by processing of all data of 3D cube, as well as calculated seismic attributes are described. All attributes are calculated by migrated cube of 3D seismic survey data. All calculated attribute cubes have been analyzed and more detailed knowledge of disjunctive setting of the field has been derived. The most efficient attributes have been defined. Comparison of traditional vertical time slices (sections) of 3D seismic survey cube with calculated sections of Sweetness, RMS Amplitude, Envelope and Ant tracking along the same lines displayed that seismic reflections and peculiarities of setting identified in traditional sections are fully reflected in attribute sections. Faults of small amplitudes identified and hardly traced in traditional time sections are well reflected in sections of all attributes by characteristic complication of wave pattern with chaotic form of attribute amplitudes distribution. The similar image is observed in all maps of calculated attributes for the surface of horizons Gazanbulaq I and II: presence of faults outlined and traced in maps drawn previously for these horizons have been confirmed. Small amplitude faults were outlined and traced in the flank portions of the structures and marked on the structural maps.
Abetova, S.A., & Abetov, A.E. (2017). Interpretation of tectonic disturbances in modeling objects using the ant tracking algorithm in petrel software. Geologiya i okhrana nedr, (4), 5155 (in Russian).
Alizade, A.A., Akhmedov, G.A., Akhmedov, A.M., & Zeynalov, M.M. (1966). Geology of oil and gas fields of Azerbaijan. Moscow: Nedra, 392 p. (in Russian).
Ampilov, Yu.P. (2008). From seismic interpretation to modeling and evaluation of oil and gas fields. Moscow: Spektr, 384 p. (in Russian).
Akhmedov, T.R. (2017). Dynamic analysis of 3D seismic data from the Hovsan area in order to identify promising areas for oil and gas. Geoinformatika, (4), 26 (in Russian).
Akhmedov, T.R. (2016). On the geological effectiveness of seismic exploration in the study of non-anticlinal traps of Azerbaijan of various types. Izvestiya Ural'skogo gosudarstvennogo gornogo universiteta, (3), 4145 (in Russian).
Voskresenskiy, Yu.N. (2010). Field geophysics. Moscow: Nedra, 479 p. (in Russian).
Kirilov, A.S., & Zakrevskiy, K.E. (2014). Workshop on seismic interpretation in PETREL. Moscow: MAI-PRINT Publ. House, 288 p. (in Russian).
Kupriyanenko, N.V., Ponomareva, O.A., & Tikhonov, D.V. (2009). Statistics. Methods of analysis of distributions. Selective observation. Study Guide: 3rd ed. St. Petersburg: Polytechnic Publ. House. University, 138 p. (in Russian).
Lobusev, A.V., Lobusev, M.A., & Nazarova, L.N. (2008). Simulation of exploration and development of a virtual oil and gas field. Moscow: Nedra, 124 p. (in Russian).
Loginov, D.V., & Lavrik, S.A. (2010). Some methods for determining an informative set of seismic attributes for predicting reservoir properties. Neftegazovaya geologiya. Teoriya i praktika, (5), 814 (in Russian).
Mikhailova, S.V. (2018). Analysis of seismic attributes — an integrated approach to conceptual modeling. Proneft. Professional'no o nefti, (2), 31—35 (in Russian).
Rakhmanov, R.R.(2007). Patterns of formation and distribution of oil and gas deposits in the Mesozoic Cenozoic sediments of the Yevlakh-Agjabadi trough. Baku: Teknur Printing Center, 185 p. (in Russian).
Sheriff, R., & Geldart, L. (1987). Seismic exploration. Processing and interpretation of data. Moscow: Mir, 400 p. (in Russian).
Balz, O., Pivot, F., & Veeken, P. (1999). Reservoir characterization using neural networks controlled by petrophysical and seismic modeling. Extended Abstracts, 61th EAGE annual meeting, S015 (pp. 14).
Marroquín, I.D., Brault, J., & Hart, B.S. (2009). A visual data-mining methodology for seismic-facies analysis: Part 1. Testing and comparison with other unsupervised clustering methods. Geophysics, 74(1), 111. https://doi.org/10.1190/1.3046455.
Neff, D.B., Runnestrand, S.A., & Butler, E.L. (2001). Multi-attribute seismic waveform classification. USA, Phillips Petroleum Company, USA Patent 6223126.
How to Cite
Copyright (c) 2020 Geofizicheskiy Zhurnal
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).