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Application of sequential indicator simulation, sequential Gaussian simulation and flow zone indicator in reservoir-E modelling; Hatch Field Niger Delta Basin, Nigeria

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Abstract

The study was carried out with the aim of predicting uncertainty using Sequential Indicator Simulation (SISIM) for lithofacies modelling, sequential Gaussian simulation (SGSIM) for reservoir property modelling and inferring the depositional environment using Flow Zone Indicator (FZI). Five well logs, core analysis data and 3D seismic data were used for the study. Reservoir sand named “Reservoir-E” was correlated across the five wells in the field, and its surface was mapped on the seismic sections from the 3D cube. Petrophysical evaluations revealed average, net to gross, porosity, permeability, the volume of shale, water saturation, hydrocarbon saturation (SH), Reservoir Quality Index (RQI) and FZI as 0.70, 0.29, 2342 mD, 0.158, 0.50, 0.50, 2.44 and 5.62 μm, respectively. Structural interpretations on seismic sections revealed five major faults which trend NE-SW, NW-SE and W-E. A 3D grid with dimension 204 × 120 × 5 = 122,400 was constructed to accommodate our model. Validation of lithofacies models shows a correlation coefficient of 89.43–92.98% for well data and model. The property model shows variability in effective porosity and permeability 0.24 to 0.38 and 560 to 5600 mD. The low amount of SH in well HT-2 and HT-3ST1 is attributed to the presence of baffles with low reservoir quality index with 1.81 and 1.67 for RQI and 5.05 and 5.27 for FZI as compared to well HT-1, HT-4ST1 and HT-5 with RQI of 3.61, 2.71 and 2.41 and FZI of 6.25, 5.85 and 5.66. The environment of deposition is interpreted to be mouth bar-upper shoreface. High porosity and permeability values are linked with high FZI and RQI which are targets for exploitation.

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References

  • Abdel-Fattah M, Metwalli F, Mesilhi E (2018) Static reservoir modelling of the Bahariya reservoirs for the oilfields development in South Umbarka area, Western Desert Egypt. J Afr Earth Sci 138:1–13

    Article  Google Scholar 

  • Abdelmaksoud A, Ewida HF, El-Habaak GH, Amin AT (2019a) 3D structural modelling of the upper Bahariya member in Abu Gharadig oil and gas field, North Western Desert. Egypt. J Afr Earth Sci 150(C):685–700

    Article  Google Scholar 

  • Abdelmaksoud A, Amin AT, El-Habaak GH, Ewida HF (2019b) Facies and petrophysical modelling of the upper Bahariya member in Abu Gharadig oil and gas field, North Western Desert, Egypt. J Afr Earth Sci 149(C):503–516

    Article  Google Scholar 

  • Ajaegwu NE, Odoh BI, Akpunonu EO, Obiadi II, Anakwuba EK (2012) Late Miocene to Early Pliocene palynostratigraphy and palaeoenvironments of ANE-1 Well, Eastern Niger Delta, Nigeria. J Min Geol 48(1):31–43

    Google Scholar 

  • Ali M, Abdelhady A, Abdelmaksound A, Darwish M, Essa MA (2019a) 3D static modelling and petrographic aspects of the Albian/Cenomanian reservoir, Komombo Basin, Upper Egypt. Nat Resour Res 29:1259–1281. https://doi.org/10.1007/s11053-019-09521-5

    Article  Google Scholar 

  • Ali M, Abdelmaksound A, Essa MA, Abdelhady A, Darwish M (2019b) 3D structural, facies and petrophysical modeling of C member of Six Hills Formation, Komombo Basin, Upper Egypt. Nat Resour Res. https://doi.org/10.1007/s11053-019-09583-5

  • Allen JRL (1965) Late quaternary Niger Delta and adjacent areas: sedimentary environments and lithofacies. Bull Am Pet Geol 49:547–600

    Google Scholar 

  • Amaefule JO, Altunbay M, Tiab D, Kersey DG, Keelan DK (1993) Enhanced reservoir description: using core and log data to identify hydraulic flow units and predict permeability in uncored intervals/Wells. 68th annual technical conference of the Society of Petroleum Engineers, Houston, Texas. October 3-6, p. 205–220

  • Armstrong M (1984) ‘Using geostatistics to predict the characteristics of Washed Coal’, J Min Eng., p. 369–373

  • Asquith G, Krygowski D (2004) Basic well log analysis: AAPG methods in exploration, 16, 31–35

  • Avbovbo AA (1978) Tertiary lithostratigraphy of Niger Delta: American Association of Petroleum Geologists Bulletin, 62, 295–300

  • Bacon M, Simm R, Redshaw T (2003) 3-D seismic interpretation. Cambridge University Press, New York

    Book  Google Scholar 

  • Barakat MK, El-Gendy NH, El-Bastawesy MA (2019) Structural modeling of the Alam El-Bueib Formation in the jade oil field, Western Desert, Egypt. J Afr Earth Sci 156:168–177

    Article  Google Scholar 

  • Chukwu GA (1991) The Niger Delta complex basin: stratigraphy, structure and hydrocarbon potential. J Pet Geol 14:211–220. https://doi.org/10.1111/j.1747-5457.1991.tb00363.x

    Article  Google Scholar 

  • De Souza EG, Scherer CMS, dos Reis AD, Bállico MB, Ferronatto JPF, Bofill LM, Kifumbi C (2019) Sequence stratigraphy of the mixed wave-tidal-dominated mesoproterozoic sedimentary succession in Chapada Diamantina Basin, Espinhaço Supergroup–Ne/Brazil. Precambrian Res 327:103–120. https://doi.org/10.1016/j.precamres.2019.03.007

    Article  Google Scholar 

  • Deutsch CV, Journel AG (1998) Geostatistical software library (GSLIB).Oxford University Press, Oxford, 2nd edition, 369 p

  • Doust H, Omatsola E (1989) Niger delta. American Association of Petroleum Geologist Bulletin, 48, 201–238

  • Geboy NJ, Olea RA, Engle MA, Martín-Fernández JA (2013) Using simulated maps to interpret the geochemistry, formation and quality of the blue gem coal bed, Kentucky, USA. Int J Coal Geol 112:26–35

    Article  Google Scholar 

  • Goovaerts P (1997) Geostatistics for natural resources evaluation. Oxford University Press, New York, p 483

    Google Scholar 

  • Jika HT, Onuoha KM, Dim CIP (2019) Application of geostatistics in facies modelling of reservoir-E “Hatch Field” offshore Niger Delta Basin, Nigeria. J Pet Explor Prod Technol 10:769–781. https://doi.org/10.1007/s13202-019-00788-1

    Article  Google Scholar 

  • Journel A (1982) The indicator approach to estimation of spatial distributions. 17th APCOM Symposium Prooceedings. Society of Mining Engineers, p.793-806

  • Journel AG, Huijbregts CJ (1978) Mining geostatistics. Academic Press, London, p 600

    Google Scholar 

  • Koneshloo M, Saman AA, Hu X (2018) The impact of geological uncertainty on primary production from a fluvial reservoir. Pet Sci 15:270–288

    Article  Google Scholar 

  • Kulke H (1995) Nigeria, regional petroleum geology of the world. Part II: Africa, America, Australia and Antarctica. Berlin, Gebrüder Borntraeger, 8, 143–172

  • Li X, Zhang J, Liu L, Fan Z, Zhang G, Li C (2016) Three-dimensional reservoir architecture modelling by geostatistical techniques in BD block, Jinhu depression, northern Jiangsu Basin, China. Arab J Geosci 9:654. https://doi.org/10.1007/s12517-016-2694-1

    Article  Google Scholar 

  • Liang B, Khan S, Tang Y (2017) Fracture hit monitoring and its mitigation through integrated 3D Modelling in the Wolfcamp stacked pay in the Midland Basin. In Unconventional Resources Technology Conference, Austin, Texas, 24-26 July 2017 (pp. 1763-1778). DOI https://doi.org/10.15530/urtec-2017-2671336

  • Ma Y, Zhu X, Guo T, Rebec T, Azbel K (2005) Reservoir characterization using seismic data after frequency bandwidth enhancement. J Geophys Eng 2(3):213–221. https://doi.org/10.1088/17422132/2/3/005

    Article  Google Scholar 

  • Maleki Tehrani MA, Asghari O, Emery X (2012) Simulation of mineral grades and classification of mineral resources by using hard and soft conditioning data: application to Sungun porphyry copper deposit. Arab J Geosci 6:3773–3781

    Article  Google Scholar 

  • Malvic T (2009) Geostatistics as a group of methods for advanced mapping of geological variables in hydrocarbon reservoirs. Annu Croat Acad Eng 12:69–83

    Google Scholar 

  • Olea RA (1994) Fundamentals of semivariogram estimation, modeling, and usage. In: Yarus J.M. and chambers, R.L. (eds), Stochastic modeling and geostatistics: principles, methods, and case studies. AAPG Computer Application in Geology, 3, 27–35

  • Owoyemi AOD (2004) The sequence stratigraphy of Niger Delta field, offshore Nigeria. Msc thesis, Texas A&M University

  • Oyeyemi KD, Olowokere MT, Aizebeokhai AP (2018) Prospect analysis and hydrocarbon reservoir volume estimation in an exploration field, shallow offshore depobelt, Western Niger Delta, Nigeria. Nat Resour Res 28:173–185

    Article  Google Scholar 

  • Oyeyemi KD, Olowokere MT, Aizebeokhai AP (2019) Prospect analysis and hydrocarbon reservoir volume estimation in an exploration field, shallow offshore depobelt, Western Niger Delta, Nigeria. Nat Resour Res 28(1):173–185

    Article  Google Scholar 

  • Qadri SMT, Islam MA, Shalaby MR, Eahsanul-Haque AK (2017) Seismic interpretation and structural modelling of Kupe field, Taranaki Basin, New Zealand. Arab J Geosci 10:295

    Article  Google Scholar 

  • Remy N, Boucher A, Wu JB (2009) ‘Applied geostatistics with SGeMS, ‘Cambridge University Press: Cambridge, UK, 264 p

  • Short KC, Stauble AJ (1967) Outline of geology of Niger Delta. Am Assoc Pet Geol Bull 51:761–779

    Google Scholar 

  • Stacher P (1995) Present understanding of the Niger Delta hydrocarbon habitat, in, Oti, M.N., and Postma, G., eds., Geology of Deltas: Rotterdam, A.A. Balkema, p. 257–267

  • Stieber SJ (1970) Pulsed neutron capture log evaluation - Louisiana Gulf Coast. Fall Meeting of the Society of Petroleum Engineers of AIME October 4-7, p. 1–7. https://doi.org/10.2118/2961-MS.

  • Tukey JW (1977) Exploratory data analysis. Addison-Wesley Publ. Co., Menlo Park, p 688

    Google Scholar 

  • Uguru CI, Onyeagoro UO, Lin J, Okkerman J, Sikiru IO (2005) Permeability prediction using genetic unit averages of flow zone indicators (FZIs) and neural networks. 29th Annual International Conference and Exhibition of the Society of Petroleum Engineers, Abuja, Nigeria. August 1-3, p.1–8. https://doi.org/10.2118/98828-MS.

  • Yilmaz O (1987) Seismic data processing: Society of Exploration Geophysics. V2, 526p

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Acknowledgments

Special thanks and appreciation are due to the management of Dharmattan Nigeria Ltd. for making available the work station used for this research work.

Funding

Financial assistance was received from Petroleum Technology Development Funds and also the Department of Petroleum Resources (DPR) Nigeria and made available the data used in this research.

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Authors and Affiliations

  1. Department of Geology, University of Nigeria, Nsukka, 410001, Nigeria

    Hilary Terkula Jika, Mosto Kalu Onuoha & Chidi Gabriel Okeugo

  2. Department of Physics, Michael Okpara University of Agriculture, Umudike, 440109, Nigeria

    Martina Onyinye Eze

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  1. Hilary Terkula Jika
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  2. Mosto Kalu Onuoha
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  3. Chidi Gabriel Okeugo
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  4. Martina Onyinye Eze
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Correspondence to Hilary Terkula Jika.

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Jika, H.T., Onuoha, M.K., Okeugo, C.G. et al. Application of sequential indicator simulation, sequential Gaussian simulation and flow zone indicator in reservoir-E modelling; Hatch Field Niger Delta Basin, Nigeria. Arab J Geosci 13, 410 (2020). https://doi.org/10.1007/s12517-020-05332-8

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