Integrated well data and 3D seismic inversion study for reservoir delineation and description


Author : Qazi Sohail Imran, Numair Ahmad Siddiqui, Abdul Halim Abdul Latif, Yasir Bashir, Almasgari Abdalsalam Abduh Saeed Ali, Muhammad JamilPublication : Bulletin of the Geological Society of MalaysiaNumber : 70Page : 209-220Year : Nov 2020DOI : doi.org/10.7186/bgsm70202016


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Bulletin of the Geological Society of Malaysia, Volume 70, November 2020, pp. 209 - 220
 

Integrated well data and 3D seismic inversion study for reservoir delineation and description

Qazi Sohail Imran1,*, Numair Ahmad Siddiqui1, Abdul Halim Abdul Latif1, Yasir Bashir2, Almasgari Abdalsalam Abduh Saeed Ali1, Muhammad Jamil1

1 Center of Subsurface Seismic Imaging & Hydrocarbon Prediction, Geoscience Department, Universiti Teknologi PETRONAS, Malaysia
2 School of Physics, Universiti Sains Malaysia, USM Penang, Malaysia
*Corresponding author email address: qazi_17007588@utp.edu.my

Abstract: Offshore petroleum systems are often very complex and subtle because of a variety of depositional environments. Characterizing a reservoir based on conventional seismic and well-log stratigraphic analysis in intricate settings often leads to uncertainties. Drilling risks, as well as associated subsurface uncertainties can be minimized by accurate reservoir delineation. Moreover, a forecast can also be made about production and performance of a reservoir. This study is aimed to design a workflow in reservoir characterization by integrating seismic inversion, petrophysics and rock physics tools. Firstly, to define litho facies, rock physics modeling was carried out through well log analysis separately for each facies. Next, the available subsurface information is incorporated in a Bayesian engine which outputs several simulations of elastic reservoir properties, as well as their probabilities that were used for post-inversion analysis. Vast areal coverage of seismic and sparse vertical well log data was integrated by geostatistical inversion to produce acoustic impedance realizations of high-resolution. Porosity models were built later using the 3D impedance model. Lastly, reservoir bodies were identified and cross plot analysis discriminated the lithology and fluid within the bodies successfully.

Keywords: 3D seismic inversion, reservoir delineation, reservoir characterization, thin-beds, petrophysics, rock physics

DOI: https://doi.org/10.7186/bgsm70202016