scholarly journals Reservoir characterization using stochastic seismic inversion in “K” gas field, Bonaparte Basin

2021 ◽  
Author(s):  
Tri Wicaksono ◽  
Abdul Haris ◽  
Agus Riyanto ◽  
Pradityo Riyadi
Keyword(s):  
Reservoir Characterization ◽  
Seismic Inversion ◽  
Gas Field ◽  
Stochastic Seismic Inversion

Application of geostatistical seismic inversion in reservoir characterization of Sapphire gas field, offshore Nile Delta, Egypt

2019 ◽  
Vol 38 (6) ◽  
pp. 474-479
Author(s):  
Mohamed G. El-Behiry ◽  
Said M. Dahroug ◽  
Mohamed Elattar
Keyword(s):  
Reservoir Characterization ◽  
Nile Delta ◽  
Seismic Inversion ◽  
Reservoir Modeling ◽  
Connectivity Analysis ◽  
Gas Field ◽  
Geostatistical Inversion ◽  
Well Data ◽  
Reservoir Connectivity ◽  
Inversion Techniques

Seismic reservoir characterization becomes challenging when reservoir thickness goes beyond the limits of seismic resolution. Geostatistical inversion techniques are being considered to overcome the resolution limitations of conventional inversion methods and to provide an intuitive understanding of subsurface uncertainty. Geostatistical inversion was applied on a highly compartmentalized area of Sapphire gas field, offshore Nile Delta, Egypt, with the aim of understanding the distribution of thin sands and their impact on reservoir connectivity. The integration of high-resolution well data with seismic partial-angle-stack volumes into geostatistical inversion has resulted in multiple elastic property realizations at the desired resolution. The multitude of inverted elastic properties are analyzed to improve reservoir characterization and reflect the inversion nonuniqueness. These property realizations are then classified into facies probability cubes and ranked based on pay sand volumes to quantify the volumetric uncertainty in static reservoir modeling. Stochastic connectivity analysis was also applied on facies models to assess the possible connected volumes. Sand connectivity analysis showed that the connected pay sand volume derived from the posterior mean of property realizations, which is analogous to deterministic inversion, is much smaller than the volumes generated by any high-frequency realization. This observation supports the role of thin interbed reservoirs in facilitating connectivity between the main sand units.

Risk Reduction on the Western Siberia Prospect Using Stochastic Seismic Inversion and Geological Constraints

2021 ◽  
Author(s):  
Anton Khitrenko ◽  
Sergey Fedotkin ◽  
Ayk Nazaryan ◽  
Svetlana Zhigulskiy ◽  
Pavel Emelyanov
Keyword(s):  
Seismic Data ◽  
Western Siberia ◽  
Reservoir Characterization ◽  
Probability Model ◽  
Seismic Inversion ◽  
Advantages And Disadvantages ◽  
Fluid Properties ◽  
Geological Constraints ◽  
Stochastic Seismic Inversion ◽  
Source Of Information

Abstract Seismic data is a main source of information for lateral forecast of lithofacies. No one can deny that seismic data is a useful method to determinate structure of prospects. However, we have to accept to urgent need to implement steps that will make possible to predict distribution of lithofacies. In exploration, the prediction of lithology and fluid properties is a main goal. Popularity and comparative simplicity of inversion, made seismic inversion popular for reservoir characterization. Despite the benefits of method, inability to estimate uncertainty of models, stochastic seismic inversion was inveted. A stochastic seismic inversion combine relationship with varying lithofacies parameters and elastic properties using uncertainty of each data. Additional modification of stochastic seismic inversion is geological constraints allows to exclude not appropriate realization and obtain correct probability model of lithofacies. Comparison of approaches and results on a real set provided from the Tyumen formation in Western Siberia allows to estimate advantages and disadvantages of modification stochastic Seismic inversion.

scholarly journals Simultaneous Seismic Inversion for Reservoir Characterization at Poseidon Field, Browse Basin, Australia

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Suleman Mauritz Sihotang ◽  
Ida Herawati
Keyword(s):  
Oil And Gas ◽  
Reservoir Characterization ◽  
Research Area ◽  
Seismic Inversion ◽  
Inversion Method ◽  
Well Log ◽  
Gas Field ◽  
Simultaneous Inversion ◽  
Fluid Saturation ◽  
Oil And Gas Field

Seismic inversion method has been widely used to obtain reservoir property in an oil and gas field. In this research, one of inversion methods known as simultaneous inversion is used to analyze reservoir characterization at Poseidon Field, Browse Basin. Simultaneous inversion is applied to partial angle stack data and result in volume of Acoustic Impedance (AI), Shear Impedance (SI) and Lame parameter (LMR). The objective of this study is to determine distribution of sandstone lithology with gas saturated in Plover reservoir formation. Sensitivity analysis is done by cross-plotting elastic and Lame parameter from five well log data and analyzing lithology type and fluid saturation. Based on those cross-plots, lithological type can be identified from AI, λρ, µρ and λ/µ parameters. Meanwhile, the presence of gas can be discriminated using SI, λρ, and λ/µ parameters. Gas-saturated sandstone presence is characterized by Lambda-Rho value less than 50 GPa g cc-1 and Lambda over Mu value less than 0.8 GPa g cc-1. Maps of each parameter are generated at reservoir interval. Based on those maps, it can be concluded that gas sand spread out in the eastern and western areas of research area.

scholarly journals Porosity Distribution and Differentiation of Different Types of Fluids in Reservoir of Sawan Gas Field, Lower Indus Basin, Pakistan

2019 ◽  
Vol 3 (1) ◽  
pp. 28-37
Author(s):  
M. Asad ◽  
H.U. Rahim
Keyword(s):  
Acoustic Impedance ◽  
Reservoir Characterization ◽  
Three Dimensional ◽  
Seismic Inversion ◽  
Indus Basin ◽  
Gas Field ◽  
Porosity Distribution ◽  
Lower Indus Basin ◽  
Seismic Reservoir ◽  
Lower Goru Formation

AbstractThe lower Indus basin is one of the prolific basins in Pakistan in which the C-interval of lower Goru formation act as a reservoir. With the help of petrophysical interpretation production zone is recognized and also porosity is calculated at the reservoir level. Through porosity we are able to calculate Ksat. A model based inversion of 2D seismic inversion was performed to ascertain three dimensional dispersion of acoustic impedance in the investigation zone and we have recognized new areas where porosity distribution is maximum and site which is suitable for new well. Porosity and Acoustic impedance are typically contrarily relative to each other. Presently porosity can be anticipated in seismic reservoir characterization by utilizing acoustic impedance from seismic inversion far from well position.

Comparing deterministic and stochastic seismic inversion for thin-bed reservoir characterization in a turbidite synthetic reference model of Campos Basin, Brazil

2005 ◽  
Vol 24 (11) ◽  
pp. 1168-1172 ◽  
Author(s):  
Sérgio Sacani Sancevero ◽  
Armando Zaupa Remacre ◽  
Rodrigo de Souza Portugal ◽  
Evaldo Cesário Mundim
Keyword(s):  
Reservoir Characterization ◽  
Reference Model ◽  
Seismic Inversion ◽  
Campos Basin ◽  
Stochastic Seismic Inversion

scholarly journals Seismic Reservoir Characterization Using Model Based Post-stack Seismic Inversion: In Case of Fenchuganj Gas Field, Bangladesh

2016 ◽  
Vol 59 (6) ◽  
pp. 283-292 ◽  
Author(s):  
Shefa Ul KARIM ◽  
Md Shofiqul ISLAM ◽  
Mohammad Moinul HOSSAIN ◽  
Md Aminul ISLAM
Keyword(s):  
Reservoir Characterization ◽  
Seismic Inversion ◽  
Gas Field ◽  
Model Based ◽  
Seismic Reservoir

Global stochastic seismic inversion using turning bands simulation and co-simulation

2021 ◽  
Author(s):  
Mehdi Sadeghi ◽  
Navid Amini ◽  
Reza Falahat ◽  
Hamid Sabeti ◽  
Nasser Madani
Keyword(s):  
Seismic Inversion ◽  
Turning Bands ◽  
Stochastic Seismic Inversion
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