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Abstract

Summary

This paper suggests using a well-established statistical technique to assess the significance of the difference or similarity between two sets of input data and to clearly quantify it in order to help decide if remodeling is required.

The t-test is a statistical tool that allows quantifying the difference between two sets of data. A theoretical overview of the t-test technique is provided first, before presenting the methodology followed in this paper to demonstrate the application of the technique to the comparison of porosity measurements performed on cores. The first set of porosity used for modeling was believed to be unreliable because of incorrect fluid removal. The second set of porosity was obtained by totally removing fluid from core samples. The assessment of similarity between the two porosities can help decide whether the porosity model needs to be revised or not. This motivates the use of the approach in integrated reservoir studies.

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/content/papers/10.3997/2214-4609.201601348
2016-05-30
2024-04-23
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References

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