Hydrocarbon Play Assessment of “Oswil” Field,Onshore Niger Delta Region
Source: By:Osisanya, W.O., Alile, O.M., Eze, S.U., Ibitoye, T.A., Oyanameh, O.E.
DOI: https://doi.org/10.30564/jgr.v3i1.2783
Abstract:Hydrocarbon play assessment of any field involves the evaluation of the production capacity of hydrocarbon reservoir unit in the field. This involves detail study of the reservoir petrophysical properties and geological interpretation of structures suitable for hydrocarbon accumulation in the field as observed from seismic reflection images. This study details the assessment of hydrocarbon play in OSWIL field onshore in Niger Delta, with the intent of appraising its productivity using a combination of seismic, well logs,petrophysical parameters and volumetric estimation using proven techniques which involves an integrated methodology. Two reservoir windows “R1” and “R2” were defined from five wells OSWIL-02, 04, 06, 07 and 12.The top and base of each reservoir window was delineated from the wells.Structural interpretation for inline 6975 revealed two horizons (X and Y) and eight faults labelled (F1, F2, F6, F8, F10, F16, F17 and F18). Five faults (F1, F6, F10, F17 and F18) were identified as synthetic faults and dip basin wards while three faults (F2, F8 and F16) were identified as antithetic faults and dips landwards. Time-depth structural map at top of reservoirs R1 and R2 revealed structural highs and closures. These observations are characteristics of growth structures (faults) which depicts the tectonic style of the Niger Delta. Results of petrophysical evaluation for reservoirs “R1” and “R2” across the five wells were analysed. For reservoir “R1” effective porosity values of 27%, 26%, 23%, 20% and 22% were obtained for wells OSWIL-04, 12, 07, 06 and 02 respectively with an average of 23.6%, while for reservoir “R2” effective porosity values of 26%, 22%, 21%, 24% and 23% for wells OSWIL-04, 12, 07, 06 and 02 were obtained respectively with an average of 23.2%. This porosity values correspond with the already established porosity range of 28-32% within the Agbada formation of the Niger Delta. Permeability index of the order (K > 100mD) were obtained for both reservoirs across the five wells and is rated very good. Hydrocarbon saturation (Shc) across the five wells averages at 61.6% for reservoir “R1” and 67.4% for reservoir “R2”. Result of petrophysical model for porosity, permeability and water saturation reveal that the reservoir system in R1 and R2 is fault assisted and fluid flow within both reservoirs is aided by presence of effective porosity and faulting. Volumetric estimation for both reservoirs showed that reservoir R1 contains an estimate of 455 × 106 STB of hydrocarbon in place, while reservoir R2 contains an estimate of 683 ×106 STB of hydrocarbon in place. These findings impact positively on hydrocarbon production in the field and affirm that the two reservoirs R1 and R2 are highly prospective.
References:[1] Kramers, J.W. Integrated reservoir characterization:from the well to the numerical model. In:proceedings, 14th World Petroleum congress, John Wiley and Sons, 1994. [2] Nwankwo, C.N., Anyanwu J, Ugwu, S.A. Integration of seismic and well log data for petrophysical modeling of sandstone hydrocarbon reservoir in Niger Delta. Sci Afr, 2014, 13(1): 186-199. [3] Ibe, A.A., Oyewole, T.E. Hydrocarbon play assessment of X-field in an onshore Niger Delta,Nigeria.Springer Journal of Petroleum Exploration and Production Technology (PEPT), 2018.DOI: https://doi.org/10.1007/s13202-018-0497-5 [4] Eze, S.U., Orji, M.O., Nnorom, S.L. Integration of Structural Seismic Interpretation, Stratigraphic and Petrophysical analysis for Hydrocarbon play assessment of “X”-field within the coastal swamp depobelt of Niger Delta: Petroleum Technology Development Journal (PTDJ), 2020, 10(1): 45-67. [5] Robert S. North Sea petroleum plays. Introduction to Petroleum Exploration for Non geologists. Oxford University Press, 1995: 106. [6] Schlumberger. Log Interpretation, Principle and application: Schlumberger Wireline and Testing,Houston Texas, 1989: 21-89. [7] Karbalaali, H, Shadizadeh, S.R., Ali, R. Delineating hydrocarbon bearing zones using Elastic Impedance Inversion. A persian Gulf example. Iranian. J. Oil and Gas science and technology, 2013, 2:2. [8] Hansen, T.M., Mosegaard, K, Pedersen, T.R.,Uldall, A, Jacobsen, N.L. Attribute guided welllog interpolation applied to low-frequency impedance estimation. Geophysics, 2008: 8-19.R83-R95.DOI: https://doi.org/10.1190/1.2996302. [9] Ukaigwe, N.F. A first course in Seismic Exploration,Eddy-Joe publishers. Nigeria Ughelli, Port Harcourt.2nd ed: 2000: 85-86+367-372. [10] Eze, S; Orji, OM; Nnorom, SL; Ubogun, K. Model Based Inversion of Acoustic impedance from Seismic trace for Lithofacies Differentiation: An Application in XY Field Offshore Niger Delta. Published in J. of Appl. Sci. Environ. Manage, (JASEM), 2019, 23(9):1677-1684. [11] Eshimokhai, S., Akhirevbulu, O.E. Reservoir characterization using seismic and well log data (A case study of Niger Delta). Ethiopian Journal of Environmental Studies and Management (EJESM).2012,5(4): 597-773. [12] Telford, W.M., Geldart, L.P., Sheriff, R. Applied geophysics. Cambridge University press London,3rd ed,1990, 1: 769. [13] Yilmaz, O. Seismic data processing. Society of exploration geophysicists, Tulsa Oklahoma, 2001. [14] Doust, H., Omatsola E. Niger Delta, in Edwards. J.D,Santogrossi, P.A., eds; Divergent/passive Margin basins; AAPG Memoir, 1990, 45: 239-248. [15] Reijers, T. Stratigraphy and sedimentology of the Niger Delta. Journal of Geologos, 2011,17(6):133-162. [16] Akpoyovbike AA. Tertiary lithostratigraphy of NigerDelta. AAPG Bulletin,1978, 62(2): 295-300. [17] Orife, J.M., Avbovbo, A.A. Stratigraphic and Unconformity traps in the Niger Delta. 1982. [18] Obaje, N.G. Geology and Mineral Resources of Nigeria. Lecture Notes in Earth Sciences,Springer-Verlag Berlin Heidelberg, 2009, 120: 109.DOI: https://doi.org/10.1007/978-3-540-92685-6 [19] Nadin, P.A., Kusznir, N. J. Palaeocene uplift and Eocene subsidence in the Northern North Sea Basin from 2D forward and reverse stratigraphic modelling.J. of the Geolo. Society, 1995, 152(5):833-848. [20] Alao, P.A., Ata, A.I., Nwoke, C.E., Chuo, Y.J., Tzanis, A. Subsurface and Petrophysical studies of Shaly-sand Reservoir targets in Apete field. Niger Delta,Hind. Geophy, 2013, 10: 1155. [21] Weber, K.J., Daukoru, E.M. Petroleum Geology of the Niger Delta. Proceedings of the 9th World Petroleum Congress, Tokyo. Applied science publishers,Ltd, London, 1975, 2: 202-221. [22] Ejedawe, J.E. Patterns of incidence of oil reserves inNiger Delta Basin. AAPG Bulletin, 1981, 65:1574-1585. [23] Nancy, O.A., Olugbenga, A.E., Dorcas, S.E. Subsurface Mapping and Reservoir Evaluation of Enena Field, Offshore Niger Delta. IOSR Journal of Applied Geology and Geophysics (IOSR-JAGG),2018, 6(1):65-73. [24] Kearey, P., Brooks, M. An Introduction to Geophysical Exploration: Blackwell science Ltd, 2000:254. [25] Sheriff, R.E. Limitations on resolution of seismic reflections and geologic detail derivable from them in Seismic Stratigraphy- Applications to Hydrocarbon Exploration (ed. by C. E. Payton). Memoir of the America Association of Petroleum Geologists, Tulsa,1977, 22. [26] Sanuade, O.A., Akanji, A.O., Olaojo, A.A., Oyeyemi,K.D. Seismic interpretation and petrophysical evaluation of SH field, Niger Delta. J Petrol Explor Prod Technol 2018, 8,:51-60. [27] Dresser. A. Log interpretation charts Houston, Texas,Dresser Industries Incorporation, 1979: 107. [28] Larionov, V.V. Borehole Radiometry: Moscow,U.S.S.R., Nedra, 1969. [29] Liakopoulos, A.C. Darcy’s coefficient of permeability as symmetric tensor of second rank.Hydrological Sciences Journal, 1965, 10(3): 41-48,DOI: https://doi.org/10.1080/02626666509493405 [30] Tixier, M.P. Evaluation of Permeability from Electric log resistivity gradient. Earth Sci. J., 1949, 2:113. [31] Xiao, L., Mao, ZhQ, Jin, Y. Calculation of Irreducible Water Saturation (Swirr) from NMR Logs in Tight Gas Sands, Applied Magnetic Resonance,2012, 42(1):113-125. [32] Archie, G.E. The electrical resistivity log as an aid in determining some reservoir characteristics.Trans.Am. Inst. Mech. Eng., 1942, 146:54-62. [33] Okoobo, B. Petrophysical evaluation of Edo field.Unpublished B.Tech project. Federal University of Technology Akure, Ondo State. 2002. [34] Pyrcz, M.J., Deutsch, C.V. Geostatistical Reservoir Modelling, 2nd ed.. Oxford University Press:Oxford,UK, 2014: 348.ISBN: 9780199731442 [35] Beucher, H., Renard, D. Truncated Gaussian and derived methods. C. R. Geosci., 2016, 348:510-519. [36] Amigun, J.O., Odole, O.A. Petrophysical properties evaluation for reservoir characterisation of “SEYI”oil field (Niger-Delta). International Journal of Innovation and Applied Studies, 2003: 756-773. [37] Rider. The geological interpretation of well logs. 2nd edition, Gulf Publishing Company Houston,1996:230.