Geological simulation and issues of petroleum fields development
Section editor – PhD in geology and mineralogy Prischepa O.M.
| Article # 23_2020 | submitted on 05/19/2020 displayed on website on 07/03/2020 |
| 13 p. | Lapkovskiy V.V. |
| The ambiguity of correlation as a factor in stochastic modeling of oil and gas fields | |
| In stochastic modeling of oil and gas accumulations, the main sources of uncertainty are associated with the incompleteness of structural information caused by data interpolation errors and inaccuracies in seismic velocity model. Often, porosity, permeability, and the position of phase contacts in reservoirs are represented by random variables with specified types and distribution parameters. There is another type of uncertainty caused by the ambiguity of the cross-well stratigraphic correlation and it has not been studied enough to date, mainly due to the complexity of generating multivariate equivalent correlation models. Based on the technology of automatic correlation of well sections according to their logging data, multivariate modeling of the Botuoba level of the Chayanda field was performed. Empirical distributions of level thicknesses and the position of its boundaries were obtained for the first time. The proposed solution allows to take into account the correlation variability in the stochastic estimation of oil and gas accumulations. Keywords: stochastic modeling, correlation uncertainty, automatic well correlation, logging, Botuoba level, Chayandа field. |
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| article citation | Lapkovskiy V.V. Neodnoznachnost' korrelyatsii kak faktor pri stokhasticheskom modelirovanii zalezhey nefti i gaza [The ambiguity of correlation as a factor in stochastic modeling of oil and gas fields]. Neftegazovaya Geologiya. Teoriya I Praktika, 2020, vol. 15, no. 3, available at: http://www.ngtp.ru/rub/2020/23_2020.html |
| DOI | https://doi.org/10.17353/2070-5379/23_2020 |
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Deryushev A.B., Potekhin D.V. Primenenie mnogovariantnogo modelirovaniya pri raspredelenii Kp s tsel'yu otsenki dostovernosti postroeniya trekhmernykh litologo-fatsial'nykh modeley na primere nizhnetimanskikh otlozheniy Kirillovskogo mestorozhdeniya nefti [The use of multivariate modeling in the distribution of Kp to evaluate the reliability of the construction of three-dimensional lithological-facies models on the example of the Lower Timan section of the Kirill oil field]. Vestnik PNIPU. Geologiya. Neftegazovoe i gornoe delo, 2012, no. 2, pp. 10-19.
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Khisamov R.S., Safarov A.F., Kalimullin A.M., Dryagalkina A.A. Veroyatnostno-statisticheskaya otsenka zapasov i resursov v module «UNCERTAINTY_ANALYSIS» V programmnom obespechenii ROXAR RMS[Probabilistic-statistical estimation of reserves and resources in the Uncertainty_Analysis module in Roxar RMS software]. Modelirovanie geologicheskogo stroeniya i protsessov razrabotki – osnova uspeshnogo osvoeniya neftegazovykh mestorozhdeniy: materialy Mezhdunarodnoy nauchno-prakticheskoy konferentsii, 2018, Kazan', pp. 89-93.
Lapkovskiy V.V., Istomin A.V., Kontorovich V.A., Berdov V.A. Korrelyatsiya razrezov skvazhin kak mnogomernaya optimizatsionnaya zadacha [Correlation of well logs as a multidimensional optimization problem]. Geologiya i geofizika, 2015, vol. 56, pp. 624-630.
Metodicheskie rekomendatsii po podschetu geologicheskikh zapasov nefti ob"emnym metodom [Guidelines for calculating the geological reserves of oil and gas by the volumetric method]. Editors V.I. Petersil'e, V.I. Poroskuna, G.G. Yatsenko. Moscow-Tver': BHTGNI, NPTs Tver'geofizika, 2003, 262 p.
Metodicheskie rekomendatsii po primeneniyu klassifikatsii zapasov i resursov nefti i goryuchikh gazov [Guidelines for the application of classification of reserves and resources of oil and combustible gases]. Utverzhdeno rasporyazheniem Minprirody Rossii ot 01.02.2016 g. № 3-r, 32 s.
Nikitin I.A., Belkina V.A. Analiz neopredelennostey zapasov gaza odnogo iz mestorozhdeniy Pur-Tazovskoy neftegazonosnoy oblasti [Uncertainty analysis of gas reserves one of the fields in Pur-Tazov Basin]. Territoriya «NEFTEGAZ», 2016, no. 11, pp. 50-56.
Potekhin D.V., Putilov I.S. Kolichestvennoe obosnovanie parametrov mnogovariantnogo modelirovaniya dlya povysheniya dostovernosti trekhmernykh geologicheskikh modeley neftyanykh mestorozhdeniy [Quantitative substantiation of multivariate modeling parameters to increase the reliability of three-dimensional geological models of oil fields] Territoriya NEFTEGAZ, 2014, no. 2, pp.20-23.
Zene M.T.A.M., Hasan N., Ruizhong J., Ruizhong J., Zhenliang G. Volumetric estimation and OOIP calculation of the Ronier4 block of Ronier oilfield in the Bongor basin, Chad. Geomech. Geophys. Geo-energ. Geo-resour. 5, 371–381 (2019). DOI: https://doi.org/10.1007/s40948-019-00117-0
Zhang K. Hong Huo H., Chen H, WanX., Liu H., Zhang Ch., Wang Y., Guo S., Meng Z. Improved Stochastic Simulation Using Stratigraphic Forward Modeling: A Case Study of the Lithological Distribution of Tide-Dominated Estuary in JE-AW Oil Field, Ecuador. In: Qu Z., Lin J. (eds) Proceedings of the International Field Exploration and Development Conference 2017. Springer Series in Geomechanics and Geoengineering. Springer, Singapore. 2019. DOI: https://doi.org/10.1007/978-981-10-7560-5_34