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Glutenite lithological physical logging recognition method based on three-porosity curves

An identification method, technology of glutenite, applied in earthwork drilling, wellbore/well components, special data processing applications, etc., can solve problems such as difficult reservoir research, strong radioactivity, and unstable gamma value distribution of glutenite

Inactive Publication Date: 2018-05-25
CHINA PETROLEUM & CHEM CORP +1
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Problems solved by technology

[0002] For glutenite reservoirs, the content of unstable minerals such as feldspar in glutenite is often high, the radioactivity is strong, and the gamma value distribution of glutenite is unstable. Some (high feldspar content) are higher than mudstone, and local (high quartz content) is low. For mudstone, the conventional gamma method for identifying sand (glutenstone) and mudstone is ineffective, which brings great difficulties to the research of this type of reservoir

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  • Glutenite lithological physical logging recognition method based on three-porosity curves
  • Glutenite lithological physical logging recognition method based on three-porosity curves

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[0014] In order to make the above and other objects, features and advantages of the present invention more comprehensible, the preferred embodiments are listed below and shown in the accompanying drawings in detail as follows.

[0015] Such as figure 1 as shown, figure 1 It is a flow chart of the glutenite lithology and physical property logging identification method based on the three-pore curve of the present invention.

[0016] Step 101, collecting and arranging log curve data such as gamma, sound wave, density, neutron, and resistivity.

[0017] Step 102, using software to correct the borehole environment for gamma, density and other logging curves. The gamma ray and density logging curves are affected by the borehole environment such as borehole wall collapse, which cannot reflect the real formation accurately. Firstly, select the well section with good borehole environment, use the resistivity, neutron and other logging curves to divide the corresponding relationship ...

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Abstract

The invention provides a glutenite lithological physical logging recognition method based on three-porosity curves. The glutenite lithological physical logging recognition method based on the three-porosity curves comprises the steps that 1, gamma, sound wave, density, neutron and electrical resistivity logging curve data is collected; 2, borehole environment correction is performed on gamma, sound wave and density logging curves; 3, sound wave, density and neutron three-porosity curves are displayed in a superposed mode; 4, a scale range of the sound wave, density and neutron three-porosity curves is determined; 5, glutenite and mudstone are comprehensively recognized in combination with cores, logging data and the sound wave, density and neutron curves; and 6, mineral constituents and afluid volume are comprehensively calculated. Through the glutenite lithological physical logging recognition method based on the three-porosity curves, glutenite and mudstone can be reasonably recognized, the mineral constituents and fluid properties can be calculated, and effective support is provided for logging interpretation, reservoir prediction, oil deposit evaluation, formulation of a development scheme and the like.

Description

technical field [0001] The invention relates to the technical field of oil field development, in particular to a glutenite lithology and physical property logging identification method based on a three-pore curve. Background technique [0002] For glutenite reservoirs, the content of unstable minerals such as feldspar in glutenite is often high, the radioactivity is strong, and the gamma value distribution of glutenite is unstable. Some (high feldspar content) are higher than mudstone, and local (high quartz content) is low. For mudstone, the conventional gamma method for identifying sand (glutenstone) and mudstone is ineffective, which brings great difficulties to the research of this type of reservoir. It is the key to efficient exploration and development of glutenite by rationally identifying glutenite and mudstone to provide support for logging interpretation, reservoir prediction, reservoir evaluation, and formulation of development plans. For this reason, we invented...

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Application Information

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IPC IPC(8): G06F17/50E21B49/00
CPCE21B49/00G06F30/20
Inventor 吕世超曹刚曲全工乌洪翠苗明王筱文吴志华
Owner CHINA PETROLEUM & CHEM CORP
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