Efficient Multivariate Property Modeling with Seismic Data

Abstract This study aims to construct 3D geological model using the integration of seismic data with well log data for reservoir characterization and development of the hydrocarbon potentialities of the Upper Cretaceous reservoirs of GPT oil field. 2D seismic data were used to construct the input interpreted horizon grids and fault polygons. The horizon which cut across the wells was used to perform a comprehensive petrophysical analysis. Structural and property modeling was distributed within the constructed 3D grid using different algorithms. The workflow of the 3D geological model comprises mainly the structural and property modeling. The structural model includes fault framework, pillar girding, skeleton girding, horizon modeling and zonation and layering modeling processes. It shows system of different oriented major and minor faults trending in NE–SW direction. The property modeling process was performed to populate the reservoir facies and petrophysical properties (volume of shale (Vsh), fluid saturations (Sw and Sh), total and effective porosities (Φt and Φe), net to gross thickness and permeability) as extracted from the available petrophysical analysis of wells inside the structural model. The model represents a detailed zonation and layering configuration for the Khoman, Abu Roash and Bahariya formations. The 3D geological model helps in the field development and evaluates the hydrocarbon potentialities and optimizes production of the study area. It can be also used to predict reservoir shape and size, lateral continuity and degree of interconnectivity of the reservoir, as well as its internal heterogeneity.

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Methods of Fault Modeling by Well-to-Seismic Integration

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.733.178 ◽

2015 ◽

Vol 733 ◽

pp. 178-181

Author(s):

Peng Yan Wang ◽

Yao Hua Li ◽

Ze Yu Li

Keyword(s):

Seismic Data ◽

Digital Simulation ◽

Fault Modeling ◽

Geological Structure ◽

Fault Model ◽

Structure Modeling ◽

Structure Model ◽

Important Work ◽

Body Checking ◽

Property Modeling

Geological structure model is the foundation of the sedimentary faces modeling, property modeling and digital simulation, which includes the horizon model and fault model. Fault model which is accorded with underground conditions plays an important role in the structure modeling, so it would be an important work to build the fault model perfectly with the seismic and logging data. This paper take the fault modeling of C84-6 well area in Chaoyanggou field as an example, building the fault model by four methods of ‘Projection of polygon’ ‘Correction of depth domain seismic body’ ‘Checking by overlooking’ ‘Correction of breakpoints’ by the software of Petrel. The fault model which is built by integrating logging and seismic data can be the skeleton to build the final geological structure model, and those methods mentioned in this paper has been applied to the modeling work in some adjacent areas at present.

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Probabilistic Reservoir-Property Modeling Jointly Constrained by 3D-Seismic Data and Hydraulic-Unit Analysis

SPE Reservoir Evaluation & Engineering ◽

10.2118/171444-pa ◽

2016 ◽

Vol 19 (02) ◽

pp. 253-264 ◽

Cited By ~ 3

Author(s):

M. Emami Niri ◽

D. E. Lumley

Keyword(s):

Seismic Data ◽

Reservoir Characterization ◽

Flow Unit ◽

3D Seismic ◽

Hydraulic Unit ◽

Hydraulic Flow ◽

Porosity And Permeability ◽

Property Modeling ◽

3D Seismic Data ◽

Unit Analysis

Summary We present a new method for seismic reservoir characterization and reservoir-property modeling on the basis of an integrated analysis of 3D-seismic data and hydraulic flow units, and apply it to an example of a producing reservoir offshore Western Australia. Our method combines hydraulic-unit analysis with a set of techniques for seismic reservoir characterization including rock-physics analysis, Bayesian inference, prestack seismic inversion, and geostatistical simulation of reservoir properties. Hydraulic units are geologic layers and zones characterized by similar properties of fluid flow in porous permeable media, and are defined at well locations on the basis of logs, core measurements, and production data. However, the number of wells available for hydraulic-unit analysis is often extremely limited. In comparison, the lateral coverage and resolution of 3D-seismic data are excellent, and can thus be used to extend hydraulic-unit analysis away from well locations into the full 3D reservoir volume. We develop a probabilistic relationship between optimal 3D-seismic-data attributes and the hydraulic units that we determine at well locations. Because porosity and permeability distributions are estimated for each hydraulic flow unit as part of the process, we can use the 3D-seismic probabilistic relationships to constrain geostatistical realizations of porosity and permeability in the reservoir, to be consistent with the flow-unit analysis. Reservoir models jointly constrained by both 3D-seismic data and hydraulic flow-unit analysis have the potential to improve the processes of reservoir characterization, fluid-flow performance forecasting, and production data or 4D-seismic history matching.

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