Introduction


The Reservoir Modeling Module (RMM) and Numerical Simulation Grids Module in DepthInsight TM are used to create reservoir properties, grids and perform upscaling between models.

The Reservoir Modeling Module enables upscaling of high-resolution well log data and point attribute data into the geo-cellular grids and can preformed to distribute these data into the grids by using deterministic or stochastic algorithms which include; Sequential Indicator Simulation (SIS), Sequential Gaussian Simulation (SGS), Kriging, and Distance Weighted Algorithms. Seismic data and faces or lithology properties can be used to constrain or guide the distributions of log data to provide more control, and deliver a much better representation of the subsurface.

Numerical Simulation Grids Module allows users to grid many different types of grids within the system, depending on how they will use or apply these grids going forward. The types of grids include: stair step, truncated rectangular or PEBI grids. Local grid refinements can be performed around areas like wells or features that require additional details for modeling and analysis. A series of functions are available to upscale model properties from grids of different sizes that maybe moved to other applications. The resulting grids can be exported to many industry standard formats for easy input into other software systems.

Technical Differentiation

The Reservoir Modeling Module allows you to build grids and properties based on the input of the detailed structural model. The accuracy can be maintained depending on the grid type and size required. Well and log data are used in a way that this data is positioned according to its pre-fault condition for proper alignment and distribution of properties.

The Numerical Simulation Grids Module enables reservoir engineers to construct three types of grids: stair step, truncated rectangular or PEBI grids. Robust and efficient gridding algorithm ensures that the truncated grids (rectangular and PEBI grid) honor the geological structure without compromise, no matter the complexity of the underground system.

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Main Functions

Facies Modeling

1. Stochastic modeling algorithms, such as Sequential Indicator Simulation (SIS)

2. Deterministic modeling algorithms, such as indicator kriging

3. Constraints with secondary variable

4. Interactive editing to draw and intuitively edit facies models

Property Modeling

1. Using well data, attribute point data, seismic data

2. Constrained by facies / lithology property

3. Secondary data, such as logs, properties and seismic data can be used with co-kriging methods

4. Deterministic Algorithms

  · GSLIB Kriging

  · Distance Weighted

5. Stochastic Algorithms

  · Sequential Gaussian Simulation (SGS)

Pre & Post Processing

1. Simulation grid generation

  · stair step, truncated, PEBI (unstructured)

  · Local grid refinement (LGR) can be applied

2. Property upscaling from grids of different sizes

3. Output to other industry formats (Eclipse, RESQML, etc…)

4. 3D visualization


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Demonstration Video


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Case Study

Case

Research on the reservoir property model of Xujiaweizi Oilfield and its outside enlarge potential

Multiple disciplines and workflows were integrated using Structural Modeling Module, Reservoir Modeling Module and Enormous Modeling Module to build the reservoir property model and identify the outside enlarge potential area.


Challenge

Identify the outside enlarge potential area in a complex continental deposit oilfield using limited seismic and well data, and this oilfield has entered the late development stage with high water-cut


Solution

Use seismic interpretation data to build a global model with 560 Km2 in time domain using Enormous Modeling Module and Structural Modeling Module, covert this model to depth domain, and create the 3D grid structure to model reservoir properties with Reservoir Modeling Module, like porosity, permeability, lithology, NTG and oil saturation. Based on these models, estimate the reserves and reservoir physical properties of these underdeveloped areas to evaluate whether they have potential or not.


Results

Structural models with surface grid 20m by 20m in time domain and depth domain and reservoir property models with 3D gird 10mX10mX0.2m within the robust DepthInsight TM platform

Adjusted well pattern to improve recovery ratio by 2%

Identify five outside enlarge potential areas to be developed


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Special Tips

A single reservoir model can involve more than one petrophysical model or facies model, but different petrophsical models or facies models could have different grid resolutions, including surface grid resolution or/and vertical grid resolution, to meet users’ different requirements.

Both the reservoir grid and numerical simulation grid are all created from the water-tight structural framework, which enables the structure of the reservoir property model to be consistent with the structure of the numerical simulation grid, honoring to high levels of accuracy the complete structural framework.

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