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Workflow and application for electrofacies classification based on e-log shapes

IP.com Disclosure Number: IPCOM000225071D
Publication Date: 2013-Jan-23
Document File: 4 page(s) / 116K

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The IP.com Prior Art Database

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Workflow and application for electrofacies classification based on e-log shapes

Introduction

We emphasize on the application of these concepts for the implementation of electrofacies classification tool based on the vertical trend of the elogs.

The concept of electrofacies is known on the oil and gas industry, the idea is that different sedimentary environment or architectural elements in a specific environment are associated to a specific lithologic succession and that this can be identified at electric log patters.

Even though these patterns have been systematized for a number of sedimentary environments there is not in the industry a tool that properly addresses the automatic classification of electrofacies based on the logs shapes.

This invention presents a workflow and an a software application to automatically identify and classify electrofacies in a specific stratigraphic interval based on the shape of different elogs.

Parts of this invention may include:

1-      2D and 3D Interface and tools for the definition of single face intervals

2-      Interface and tools for extraction of log values at specific percentages of the single faces intervals

3-      Interface and tools for display of log values on multiple dimension space

4-      Algorithms and interface for clustering and classification of  facies

5-      Interface for display of facies with colors and patterns

Prior Art

Technology used

This invention may include:

1-      Classification of electrofacies based on log shape: This technique has been used conventionally in the oil industry in a manual approach.  One common tool for the application of this technique is the map of log signatures.

2-      Automatic classification of electrofacies based on different log values; This is a conventional tool in many petrophysics and geology applications, the classification is based on the clustering of points in a multidimensional space, the dimensions depend on the number of logs used for the classification.

3-      Clustering and classification on multidimensional space this involves different mathematics and statistical tools.

Why and where this is different

This invention is different from classical multilog classification in the fact that what is important here is the vertical trend of the logs in addition to the values read at different logs.

This type of classification allows a user to identify sedimentary facies based on the vertical change of the logs in addition to the conventional method based only on the logs values. 

The vertical succession trend is obtained by considering as different dimensions the measurements on the same log (or logs) measured at different percentages of the facies interval.

Elements of the invention (Parts)

Parts of this invention may include:

1-      2D and 3D Interface and tools for the definition of single face intervals,

a.       The interface is a well section window or a 3D window, where wells and logs can be displayed as much as the existing stratigraphic markers. 

b.      The different facies interval...