Reservoir Modeling of 카지노 Sands

The reservoir, called the 카지노 sands layer, is a complex mixture of sand and mud layers with various thickness and proportions, of which the sand layer contains ultra-heavy 카지노 called bitumen.

JAPEX had been involved in the exploitation of the 카지노 sands layer in Canada since 1978, and contributed to the establishment of a bitumen production method called the Steam-Assisted Gravity Drainage (SAGD) method. To improve method, we used geological modeling technology with multiple-point geostatistics.

Geostatistics and 카지노 Development

Geostatistics is a statistical science that models and characterizes the spatial and temporal relationships of various phenomena in nature. It is one of the fields of applied mathematics that evolved from the prediction of ungro

Application in 카지노 Development

Geostatistics plays a crucial role in 카지노 development to evaluate reservoirs and delineate their distribution. One of the best geostatistical methods that can reflect the formation process of the strata is the multiple-point method.

JAPEX has been focusing on the potential of the multiple-point method since the research stage and has been working on its practical application in 카지노 development. The multiple-point method can reflect a sedimentary context controlling the formation of geological constrat that represents the distribution of sand and mud layers using the multi-point method. In the multiple-point method, we first create a training image reflecting the sedimentary system, and then extract patterns from the image to construct a geological model that incorporates the sedimentarysystem.

In the development of 카지노 sands in Alberta, Canada, we evaluate heterogeneity in the distribution of sand and mud layers based on the geological model we have constructed for the 카지노 sand layer, which is a complex formation, in order to imence produc. employ the multiple-point method to build and evaluate geological models of complex reservoirs such as volcanic rock reservoirs.

카지노 Sands Layer Modeling Process

In 카지노 sands layers, where sand and mud layers are intricately mixed, mud layers worksas a barrier to the steam injection by the SAGD method, resulting in lower production efficiency.

The 카지노 sands layer developing by JAPEX in Alberta, Canada, is believed to have deposited under a meandering river environment. Based on this assumption, the 카지노 sands layer is divided into two types of deposits: point of sand and mud layers (lithology distribution) within each type is estimated in a four-step workflow.

• Point-bar deposits: Deposits of 카지노 grains transported by moving or rolling them along the river bottom and mud grains transported by floating them. They have accumulated inside the meandering stream channel
• Abandoned-channel deposits: Deposits that filled in abandoned channel that was cut off from the mainstream as an oxbow lake due to repeated meandering of the river.

Four-step Workflow

• 1) Interpret the distribution of point-bar and abandoned-channel deposits based on 3D seismic survey and well data.
• 2) Build a framework model based on (a).
• 3) Create a training image that reflects the sedimentary system (depositional/erosional process) in the point bar.
• 4) Build the distribution model of 카지노 and mud layers in point-bar deposits using the multi-point method, and the distribution model of 카지노 and mud layers in abandoned-channel deposits using the two-point method.

Geological model construction workflow
(Source: Tsuji et al. 2013 (c) The Geological Society of Japan *1)

1) 3D seismic survey and well data interpretation

그림. a) shows 3D seismic data. The colored lines in Fig. b) are interpreted as depositional/erosional surfaces within point-bar deposits and the walls of the abandoned channel.

In Fig. c), the colored lines interpreted in Fig. b) are selected and integrated to build a framework model.

Procedure of 3D seismic data interpretation procedure
(Source: Tsuji et al. 2013 (c) Geological Society of Japan *1)

2) Building a framework model

Build a framework model based on the interpreted lines drawn in Fig. c) in 1).　

Framework model representing the distribution of point-bar deposits and abandoned-channel deposits
(Source: Tsuji et al. 2013 (c) The Geological Society of Japan *1)

3) Creating a training image

Create a training image that reflects the depositional/erosional process in the point bar env카지노onment

• A: Create a number of point-bar subunits showing the distribution of various possible 카지노 and mud layers
• B: Stack the subunits considering the depositional/erosional process in the point bar
• C: An example of a training image built by staking subunits

The concept in building a Training image for lithology distribution of point-bar deposits
(Source: Tsuji et al. 2013 (c) The Geological Society of Japan *1)

4) Building a geological model

This is an example of a geological model (카지노 layer and mud layer distribution) constructed using the multiple-point and two-point methods. The constructed model is partially cut out and used to predict the performance of production with the SAGD

• In building a model, 카지노 layer and mud layer distribution data observed in wells are used as hard data, and the probability of occurrence of 카지노 layer and mud layer are used as soft data.
• The probability of 카지노 and mud layers is calculated based on the relationship between 3D seismic data and well data.

An example of a lithology distribution model
(Source: Tsuji et al. 2013 (c) The Geological Society of Japan *1)