Assessment of updated low frequency model in delineating bypassed hydrocarbon reservoir: A 4D seismic study of ’X’ - field, offshore, Niger Delta, Nigeria

Aniefiok Sylvester Akpan; Francisca Nneka Okeke; Daniel Nnaemeka Obiora

doi:10.17485/IJST/v13i36.770

Article

Assessment of updated low frequency model in delineating bypassed hydrocarbon reservoir: A 4D seismic study of ’X’ - field, offshore, Niger Delta, Nigeria

VIEWS 1525
PDF 821

Indian Journal of Science and Technology

DOI: 10.17485/IJST/v13i36.770

Year: 2020, Volume: 13, Issue: 36, Pages: 3738-3753

Original Article

Assessment of updated low frequency model in delineating bypassed hydrocarbon reservoir: A 4D seismic study of ’X’ - field, offshore, Niger Delta, Nigeria

Aniefiok Sylvester Akpan^1*, Francisca Nneka Okeke¹,Daniel Nnaemeka Obiora¹

¹Department of Physics and Astronomy, University of Nigeria, Nsukka, Enugu State, Nigeria

*Corresponding Author
Email: [email protected]

Received Date:01 June 2020, Accepted Date:20 June 2020, Published Date:07 October 2020

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Aim/objectives: The aim of this research is, to use Time lapse (4D) seismic and investigate the influence of low frequency update in deterministic model-based seismic inversion employed in delineating a prospect saturated with bypassed hydrocarbon accumulation. Method: The dataset employed in this study incorporates 4D seismic volumes with fifteen (15) years production, interval between 2001 baseline and 2016 monitor seismic vintages. The inversion was carried out using full bandwidth of the updated low frequency and bandpass filtered low frequency approaches. The seismic vintages (baseline and monitor) were simultaneously inverted into acoustic impedance volumes for the two approaches. The formation fluid and lithology were discriminated through fluid replacement modelling (FRM) based on the colour separation between brine and gas saturation scenarios. Findings: The two inversion methods employed reveal six (6) zones suspected to be saturated with bypassed hydrocarbons. The delineated bypassed zones are masked in the full bandwidth approach,depicting the effect of the updated low frequency model. Meanwhile, the bandpass filtered approach result presents a better delineated bypassed reservoir as the zones are more pronounced when compared with the full bandwidth approach. Porosity estimate reveals that the bandpass filtered approach is characterized with excellent porosity in the suspected bypassed zones. The results equally gave more reliable and full delineated bypassed zones. Originality and novelty: The dataset employed in this study were obtained from a producing hydrocarbon field which, interest is to maximize the production of oil/gas. The study will bridge the inherent gab observed in using model-based seismic inversion approach to analyse and interpret seismic data in order to delineate hydrocarbon prospects. The research reveals that,the model-based seismic inversion method is still very effective in delineating hydrocarbon prospect when the updated low frequency is bandpass filtered to remove the model effect which influences the inverted acoustic impedance results.

Keywords: Porosity; frequency; bypassed; reservoir and impedance

References

AEO. Annual Energy Outlook. Energy Information Administration United State Department of Energy. Available from: https://www.eia.gov/outlooks/aeo/on16/02/2018 (accessed 2018-02-16)
Johnston HD, Eastwood EJ, Shyeh JJ, Vauthrin R, Khan M, Stanley RL. Using legacy seismic data in an integrated time-lapse study: Lena Field, Gulf of Mexico. The Leading Edge. 2000;19(3):294–302. Available from: https://dx.doi.org/10.1190/1.1438596
Ogbonna-Orji OC, Acra EJ, Adiela UP. Time-lapse Evaluation of Hydrocarbon Production using Rock Properties and Attributes in Niger Delta. International Journal of Scientific Engineering and Science. 2017;1:5–10.
Landro M, Amundsen L. Introduction to Exploration Geophysics with Recent Advances. Bivrost GeoExPro, Lundin Norway. 2018.
Kramers JW. Integrated Reservoir Characterization: from the well to the numerical model. In: 14th World Petroleum Congress. John Wiley and Sons. 1994.
Larue DK, Yue Y. How stratigraphy influences oil recovery: A comparative reservoir database study concentrating on deepwater reservoirs. The Leading Edge. 2003;22(4):332–339. Available from: https://dx.doi.org/10.1190/1.1572086
Ejedawe J, Love F, Steele D, Ladipo K. Onshore to Deep-water Geologic Integration, Niger Delta. Shell Exploration and Production Limited, Port-Harcourt. 2007.
Ajaegwu NE, Odoh BI, Akpunonu EO, Obiadi I, Anakwuba EK. Late Miocene to Early Pliocene Palynosstratigraphy and Palaeo-environments of ANE-1 Well. Journal of Mining and Geology. 2012;48:31–43.
Weber KJ, Daukoru E. Petroleum Geology of the Niger Delta. Proceedings of the 9th World Congress. 1975;2:209–221.
Lawrence S, Munday S, Bray R. Regional Geology and Geophysics of the Eastern Gulf of Guinea, Niger Delta to Rio Muni. The Leading Edge. 2002;21:1112–1117. Available from: https://doi.org/10.1190/1.1523752
Ehirim CN, Chikezie NO. Anisotropic Avo Analysis for Reservoir Characterization in Derby Field Southeastern Niger Delta. IOSR Journal of Applied Physics. 2017;09(01):67–73. Available from: https://dx.doi.org/10.9790/4861-0901016773
Okeugo CG, Onuoha KM, Ekwe CA, Anyiam OA, Dim CIP. Application of crossplot and prestack seismic-based impedance inversion for discrimination of lithofacies and fluid prediction in an old producing field, Eastern Niger Delta Basin. Journal of Petroleum Exploration and Production Technology. 2019;9(1):97–110. Available from: https://dx.doi.org/10.1007/s13202-018-0508-6
Doust H, Omatsola E. Niger Delta. In: EJ, SP., eds. Divergent/Passive Margin Basin. (Vol. 48, pp. 239-248) American Association of Petroleum Geologists. 1990.
El-Bahiry M, El-Amir A, Abdelhay M. Reservoir characterization using fluid substitution and inversion methods, offshore West Nile Delta, Egypt. Egyptian Journal of Petroleum. 2017;26(2):351–361. Available from: https://dx.doi.org/10.1016/j.ejpe.2016.05.005
Mallick S. Model‐based inversion of amplitude‐variations‐with‐offset data using a genetic algorithm. GEOPHYSICS. 1995;60(4):939–954. Available from: https://dx.doi.org/10.1190/1.1443860
Castagna JP, Greenberg ML. Shear Wave Velocity Estimation in Porous Rocks. Theoretical Formation, Preliminary Verification and Applications. Geophysical Prospect. 1993;p. 195–209. Available from: https://doi.org/10.1016/0148-9062(93)90907-u
Gluyas J, Swarbrick R, Geoscience P. Petroleum Geoscience. Blackwell Science Ltd. 2004.
Smith MT, Sondergeld HC, Rai SC. Gassmann fluid substitutions: A tutorial. Geophysics. 2003;68(2):430–440. Available from: https://dx.doi.org/10.1190/1.1567211
Archie GE. Classification of Carbonate Reservoir Rocks and Petrophysical Considerations. AAPG Bulletin. 1952;36:218–298. Available from: https://dx.doi.org/10.1306/3d9343f7-16b1-11d7-8645000102c1865d
El-Ouair Y, Stronen L. Value Creation from 4D Seismic at the Gulfaks Field: Achievements and Challenges. In: 76th Annual International Meeting, SEG, Expanded Abstracts. p. 3250–3254.
Oyeyemi DK, Olowokere TM, Aizebeokhai PA. Evaluation of optimal reservoir prospectivity using acoustic-impedance model inversion: A case study of an offshore field, western Niger Delta, Nigeria. NRIAG Journal of Astronomy and Geophysics. 2017;6(2):300–310. Available from: https://dx.doi.org/10.1016/j.nrjag.2017.11.001
Rider M. The Geological Interpretation of Well Logs. Blackie, Glasgow. 1986.
Landro M, Seismic. KB., ed. Petroleum Geoscience: From Sedimentary Environments to Rock Physics. Springer Science. 2010.
Johnston D. Practical Applications of Time-lapse Seismic Data: Distinguished Instructor Short Course. Society of Exploration Geophysics, Tulsa, U.S.A. . 2013. Available from: https://doi.org/10.1190/1.9781560803126
Latimer RB, Davidson R, Riel Pv. An interpreter's guide to understanding and working with seismic-derived acoustic impedance data. The Leading Edge. 2000;19:242–256. Available from: https://dx.doi.org/10.1190/1.1438580
Cemen I, Fuchus J, Coffey B, Gertson R, Hager C. Correlating Porosity with Acoustic Impedance in Sandstone Gas Reservoirs; examples from the Atokan Sandstones of the Arkoma Basin, Southeastern Oklahoma. American Association of Petroleum Geophysics, Annual Convention Exhibition, Pittsburgh, Pennysylvania. Search and Discovery Article #41255. 2014.
Farvour M, Yoon W, Kim J. Seismic Attributes and Acoustic Impedance in Interpretation of Complex Hydrocarbon Reservoirs. Journal of Applied Geophysics. 2015;114:68–80. Available from: https://doi.org/10.1016/j.japgeo.2015.01.008

Copyright

© 2020 Akpan et al.This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee).