The objective of this work is to generate an effective selection of cased-hole completions that contributes to increase the production of M field, contemplating all the necessary technical criteria to ensure that the evaluation formation and static fractal analysis could be advantageous for the reservoir characterization and the determination of well productivity parameters.

We used the Statistic-Fractal analysis inside of petrophysical model known as fractal and geostatistical models whose main purpose is to analyze data for reservoir characterization. That is, through separating data from production log tools and resistivity logs, it is possible to have an accurate picture of the hydrocarbon path through the identification of the repeatable marks of data along the selected well logs from cased-hole completions of the field in study. That representative mark, associated with the knowledge of the internal characteristics of the reservoir (porosity, permeability, fracture systems and faults, Water-Oil Contact) help to obtain better results.

For this scrutiny we analyzed 12 wells (1, 11, 51, 62, 61, 3A, 3Are, 21, 21are, 31,32, 64), from M field in Southeastern Mexico, deep onshore carbonates (average reservoir depth is 6,493 m) producing light oil, with different completions, which include slotted liner, cemented liner with selective perforations and open-hole completions.

This paper describes the process of analysis and selection of new potential intervals to complete and explains the workflow used during the design stage. Statistic-fractal analysis in petrophysical model techniques are discussed together with lessons learned from the wells in terms of production behavior. The importance of this work lies in improving the selection of new locations and completions in mature fields.

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