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Method for predicting seismic attributes of reservoirs of river channels

A technology of seismic attributes and prediction methods, applied in the field of oil and gas geophysics, can solve problems such as low accuracy and limited application scope, and achieve the effect of reducing risk and increasing value

Active Publication Date: 2017-01-25
CHINA PETROLEUM & CHEM CORP +1
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  • Application Information

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Problems solved by technology

Therefore, the application range of these two types of channel reservoir seismic attribute prediction methods is limited, and the accuracy is low

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  • Method for predicting seismic attributes of reservoirs of river channels
  • Method for predicting seismic attributes of reservoirs of river channels
  • Method for predicting seismic attributes of reservoirs of river channels

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Embodiment Construction

[0020] Preferred embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although preferred embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0021] Generally, channel-like sandstone reservoirs have the characteristics of rapid lateral change in sedimentary lithology, poor continuity, and strong heterogeneity in the direction perpendicular to the channel; while they have good continuity of sand bodies and relatively stable lithofacies in the direction along the channel. In addition, with the differences in lithology, physical properties and oil and gas bearing properties of the ch...

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Abstract

The invention provides a method for predicting seismic attributes of reservoirs of river channels. The seismic attributes of the reservoirs of the river channels can be predicted by the aid of attribute parameter data volumes A of the reservoirs of the river channels. The method includes steps of S10, estimating waveform similarity data volumes S of seismic data; S20, estimating and screening sensitive seismic parameter attribute parameter data volumes P for reflecting the reservoirs of the river channels; S30, computing the attribute parameter data volumes A according to a formula A=P / (K S). The K represents a preset weighting coefficient. The method has the advantages that the high-quality sandstone reservoirs of the river channels can be effectively identified and predicted on the basis of the mixed seismic attributes of seismic physical response characteristics and geometric response characteristics, accordingly, sandstone oil-gas exploration and exploitation well drilling risks of the river channels can be reduced to a great extent, and value of the seismic acquisition data can be increased.

Description

technical field [0001] The invention relates to the technical field of oil and gas geophysics, and more specifically, to a method for predicting seismic attributes of channel reservoirs. Background technique [0002] Channel sand bodies are the most important type of oil and gas reservoirs in clastic rocks. Due to the frequent diversion and migration of channels, sand-mud mixed facies and sand-mud interfacies are widely developed in multi-stage channel sedimentary strata. Such sand bodies not only intersect, overlap or cut each other, but also have poor spatial distribution stability, and the reservoir thickness is thin, so it is very difficult to predict the plane distribution of channel reservoirs. [0003] At present, the seismic attribute methods for predicting channel sandstone reservoirs can be roughly divided into two categories. One category mainly uses various amplitude attribute methods, such as root mean square amplitude, maximum peak (or maximum trough) amplitud...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/30
Inventor 张宏
Owner CHINA PETROLEUM & CHEM CORP