Well logging characteristic curve reconstruction method of gravel rock based on rock core scale well logging

A technology of core scale and characteristic curve, applied in seismology, wellbore/well components, earthwork drilling, etc. for logging records, which can solve the problem of inability to guarantee the reliability of inversion results.

Active Publication Date: 2016-10-05
CHINA PETROLEUM & CHEM CORP +1
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Problems solved by technology

The well logging data of conventional reservoirs can clearly reflect the characteristics of the reservoir by using the measured well logging curves, and naturally can be directly used for reservo

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  • Well logging characteristic curve reconstruction method of gravel rock based on rock core scale well logging
  • Well logging characteristic curve reconstruction method of gravel rock based on rock core scale well logging
  • Well logging characteristic curve reconstruction method of gravel rock based on rock core scale well logging

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Embodiment Construction

[0021] In order to make the above and other objects, features and advantages of the present invention more comprehensible, preferred embodiments are listed below and described in detail in conjunction with the accompanying drawings.

[0022] Such as figure 1 as shown, figure 1 It is a flow chart of the logging characteristic curve reconstruction method based on the core scale logging for glutenite body of the present invention.

[0023] In step 101, combined with layered data, the systematic core observation of the coring well is carried out, and the coring section is divided into mudstone interbedded thin sandstone section (A section), conglomerate sandstone and mudstone interbed section (B section), and glutenite thick sandstone section. Layer section (C section), such as figure 2 shown.

[0024] Geological stratification refers to assigning different depths of the well section to different geological time concepts. Systematic core observation is to observe the well with...

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Abstract

The invention provides a well logging characteristic curve reconstruction method of a gravel rock based on rock core scale well logging. The method comprises the following steps of dividing a core taking segment into a mudstone clamping thin layer sandstone segment, a gravel rock and mudstone interbedding segment and a gravel-rock thick layer segment; dividing the mudstone clamping thin layer sandstone segment, the gravel rock and mudstone interbedding segment and the gravel-rock thick layer segment on a well logging curve; comprehensive analyzing a characteristic of each well logging curve and searching characteristics of the above three segments on each curve; finding a sensitive curve reflecting different lithology of the three segments; carrying out baseline rotation on a special segment which is obviously inclined of a mudstone baseline in the sensitive curve; and based on special segment mudstone baseline rotation, carrying out reconstruction of a full well segment of the well logging characteristic curve. By using the well logging characteristic curve reconstruction method of the gravel rock based on rock core scale well logging, a problem that a measured curve can not represent a reservoir layer characteristic is solved; precision of gravel rock reservoir layer inversion is guaranteed and gravel rock reservoir layer inversion quality is increased.

Description

technical field [0001] The invention belongs to the field of logging data processing in seismic reservoir inversion, in particular to a method for reconstructing logging characteristic curves in seismic reservoir inversion of conglomerate bodies. Background technique [0002] Seismic inversion is the process of imaging (solving) the spatial structure and physical properties of underground strata using seismic data from surface observations and constrained by known geological laws and well logging data. The basic data used in the inversion are well logs and seismic data. The quality of the seismic data directly affects the quality of the inversion results, and the quality of the well logs also determines the quality of the inversion results. In the inversion process, people pay more attention to the quality of seismic data, and invest heavily in seismic data processing. On the contrary, they ignore the quality and investment of well logging data. This neglect will inevitably ...

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Application Information

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IPC IPC(8): G01V1/40E21B49/00
Inventor 王军田同辉张强黄旭日靳利超晁静孙志勇唐军许彦群邵德艳吴满李钰李毅张洪波
Owner CHINA PETROLEUM & CHEM CORP
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