Abstract
This work presents a novel algorithm that achieves enhanced resolution of well logging signals, e.g., from 1 ft of a pulsed neutron mineralogy tool to 0.04 ft of an imaging tool. The algorithm, denoted as “Digital Core,” combines mineralogical and sedimentological information to generate a high-resolution record of the formation mineralogy which can be consequently applied to thin bedded environments. The keystone to the philosophy of this algorithm is that the spectral information recorded by mineralogy tool is a weighted average of the mineralogy of each lithological component in the analyzed volume. Therefore, by using a high-resolution image log to determine the proportion of each lithological component, their composition can be determined from the mineralogy log data. A field case from a well located in South Australia is presented in this work, and the results validate the feasibility of an integrated core-level petrophysical analysis in a cost-effective and timely manner compared to conventional core measurements.
Highlights
Oil well logging has been known for many years and provides an oil and gas well driller with information about the particular earth formation being drilled
Accurate and detailed knowledge of earth formations that may contain reservoirs of the hydrocarbons is required for the exploration and production of hydrocarbons [1,2,3]
It is important to know the lithology of the earth formations as a function of depth, in thinly bedded formations
Summary
Oil well logging has been known for many years and provides an oil and gas well driller with information about the particular earth formation being drilled. An example is provided from a well in Australia where spectroscopic mineralogy, a resistivity borehole image, and a core were available The development of this method allows to increase the resolution of the mineralogy log to the level of the image log: what can be recorded on the borehole image can be discriminated in the mineralogy log. This method will enhance our understanding of complex environments, for instance the distribution of organic matter or the distribution of argillaceous beds in reservoir formations It allows a better understanding of the reservoir properties and their vertical distributions, a more precise location of hydrocarbon-bearing intervals, and can be used to extend core information more accurately over the logged interval. More specific embodiments may provide mineralogy logs, matrix density logs, and total porosity logs with a high vertical resolution, as well as allowing calculation of net-to-gross and net pay in thin bed formations
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