Integration of Seismic Inversion Attributes in Field Development Planning at Malay Basin-Asia and North Sea Fields

Main Article Content

Sofolabo Adekunle
Justin Obilo

Abstract

A major and very important stage in exploration and production projects of any given field is the field development planning program. Conventionally most Field Development Planning (FDP’s) are performed without the use of high resolution and fidelity data, such as seismic inversion products. This paper demonstrates the need for integration of seismic inversion products into FDP’s and its added values in the process. The lithology and fluid volumes were computed using seismic inversion products, acoustic impedance (AI) and Poisson’s ratio (PR). The volume obtained shows oil, gas or water probabilities, which are crucial in well placement program and optimal well planning (FDP’s common goals). The values of seismic inversion integration added to FDP includes improved volumetrics from high fidelity porosity and permeability volumes, better lithology and fluid discrimination, Proper placement of oil water contact for better history matching for flow simulation. Also the rock property changes were estimated from seismic inversion to determine reservoir behavior over time, the acoustic impedance was observed to decrease with an increase in Poisson ratio, when pore pressure increases and vice versa. But with decrease in pore pressure, both the acoustic impedance (AI) and poisson’s ratio (PR) thus increase, thereby causing the lighter fluid (oil) to be replaced by heavier fluid (water). Based on the obtained 4-D inversion result, the oil water contact was shifted downwards in the reservoir model, which subsequently gives a better history matching for flow simulation. The study shows the robustness of using seismic attributes in FDP’s.

Keywords:
Seismic inversion, attributes, acoustic impedance, Poisson’s ratio, field development planning

Article Details

How to Cite
Adekunle, S., & Obilo, J. (2020). Integration of Seismic Inversion Attributes in Field Development Planning at Malay Basin-Asia and North Sea Fields. Asian Journal of Geological Research, 3(1), 53-61. Retrieved from https://journalajoger.com/index.php/AJOGER/article/view/30102
Section
Original Research Article

References

Pelemo B, Otubanjo M, Anyadike E, Olusoji M, Sanyaolu A, Ukaonu C, Ovuru M, Akewusola T, Matemilola S, Emmanuel E, Kaar Sijpesteijin C. Integrated Field Development planning for reservoir performance optimization, Shallow water, Offshore Nigeria. 2018;27(2):90- 95.

D’Souza R, Basu S. Field development planning and platform concept selection for global Deep water development. Offshore Technology Conference. 2011;2(5):1-7.

Russell HB. Introduction to seismic inversion methods. A Society of Exploration Geophysics (SEG) Continuous Education Course Notes Series ed. 2006; 2:1-235.

A-zdemir H, Hansen JW, Robinson E. Seismic estimation of rock parameters A case study. European Association of Geoscientists and Engineers (EAGE). Stavanger, Norway. Extended Abstract D40; 2003.

White RE. Partial coherence matching of synthetic seismograms with seismic traces. Geophysical Prospecting. 1980;28:333-358.

Obilo J, Sofolabo A. Use of seismic inversion attributes in field development planning, IOSR Journal of Applied Geology and Geophysics (IOSR-JAGG).2018;6(2): 86-92.
[e-ISSN: 2321–0990]
[ISSN: 2321–0982]

Olowokere MT, Ojo JS. Fluid detections and lithology discrimination using lame petrophysical parameters from simultaneous inversion – using Northern North Sea, Norway. National Association of Petroleum Explorationists (NAPE) International Bulletin. 2010;22(1):36-42.

Johnson DH. Practical application of time lapse seismic data. Distinguished Instructor Series. 2013;16:45-72.

A-zdemie H, Ronen S, Olofsson B, Goodway W, Young P. Simultaneous multicomponent AVO inversion. SEG Annual Meeting Extended Abstract, San Antonio, Extended Abstract Session. 2001;4.

Larsen J, Margrave G, Lu H. AVO analysis by simultaneous PP, PS weighted stacking applied to 3-C-3D seismic data. SEG Annual Meeting Abstract. 1999;721-724.

Aki K, Richards PG. Quantitative Seismology: W.H Freeman and Company; 1980.

Goodway W, Chen T, Downton J. Improved AVO fluid detection and lithology discrimination using Lame petrophysical parameters: 67th Annual International Meeting, SEG Expanded Abstracts. 1997; 183-186.

Pedersen SI, Randen T, Sonneland L, A Steen. Automatic 3D fault interpretation by artificial ants. European Association of Geoscientists and Engineers (EAGE). Florence, Italy. Extended Abstract. 2002; 27-30.

Oluwasusi A, Adegbasa G, Ude A, Odebeatu C, Sze E. Integrated approach to opportunity using 4D seismic and production Data: C Channel complex set of EN Field. National Association of Petroleum Explorationists (NAPE) International Bulletin. 2018;27(1): 6-11.

Adeoti AO, Ayolabi EA, Akinmosin A, Oladele S, Oyediran T, Ayuk MA. Reservoir fluid determination in Jay Field, onshore Niger Delta, Nigeria. 2018;22: 453-458.