Description and evaluation method for spatial distribution of sand bodies, of seismic attribute, in clastic rock reservoir

A technology of seismic attributes and spatial distribution, applied in the field of petroleum geological exploration, can solve the problems of low prediction accuracy and poor identification of thin interbedded sand bodies, and achieve the effects of good application prospects, good adaptability and improved accuracy.

Active Publication Date: 2017-03-22
CHINA PETROLEUM & CHEM CORP +4
5 Cites 31 Cited by

AI-Extracted Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a method for describing and evaluating the spatial distribution of seismic attribute sand bodies in clastic rock reservo...
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Abstract

The invention discloses a description and evaluation method for spatial distribution of sand bodies, of a seismic attribute, in a clastic rock reservoir. The method comprises the following steps that 1) batten interpolation and encrypted sampling are carried out on post-stack seismic data to obtain encrypted sampled seismic data; 2) according to sensitive relations between the seismic attribute and lithology, pore permeability and petroliferous performance, a seismic attribute combination is optimized, and an integrated seismic attribute is obtained; 3) spatial distribution of dessert sand bodies is identified according to the integrated seismic attribute; and 4) spatial distribution of dessert sand bodies is combined, and a logging porosity and the petroliferous performance are calibrated to realize identification and integrated evaluation for sand bodies of the clastic rock reservoir. According to the method, features of the seismic attribute data calibrated by the logging data are considered in an integrated manner, technologies of logging data calibration, batten interpolation and encrypted sampling of seismic data, seismic attribute extraction and analysis on slicing zero points of the attribute are applied comprehensively, the thickness and physical parameters of the sand bodies of the seismic attribute are evaluated, and the prediction and evaluation precision of the sand bodies of the reservoir are improved.

Application Domain

Seismic signal processing

Technology Topic

PorosityLithology +5

Image

  • Description and evaluation method for spatial distribution of sand bodies, of seismic attribute, in clastic rock reservoir
  • Description and evaluation method for spatial distribution of sand bodies, of seismic attribute, in clastic rock reservoir
  • Description and evaluation method for spatial distribution of sand bodies, of seismic attribute, in clastic rock reservoir

Examples

  • Experimental program(2)

Example Embodiment

[0154] Example 1
[0155] The method for describing and evaluating the spatial distribution of seismic attribute sand bodies in clastic rock reservoirs in this embodiment is performed for shallow channel sand bodies in the TK1115 block, and includes the following steps:
[0156] 1) Use the method in section 2.1 above to perform spline interpolation and encrypted sampling on the post-stack seismic data to obtain encrypted sampled seismic data;
[0157] 2) Calculate different types of seismic attributes from the encrypted seismic data using the method in section 2.2 above; select the impedance, maximum value, and waveform according to the sensitive relationship between each type of seismic attribute and lithology, porosity, permeability, and oil and gas. Classification, total amplitude, average amplitude, root mean square amplitude, and maximum peak amplitude attributes are comprehensive seismic attributes. Among them, the root mean square amplitude attributes well reflect the meandering channel sand body shape of the oil and gas layers in the block;
[0158] 3) Identify the spatial distribution of sweet sand bodies based on comprehensive seismic attributes;
[0159] 4) Combining with the spatial distribution of sweet sand bodies, the identification and comprehensive evaluation of sand bodies in clastic reservoirs can be realized through the calibration of logging porosity and oil and gas content.
[0160] In this example, the sand body distribution displayed according to the root mean square amplitude attribute is as follows Figure 23 , Figure 24 Shown. It can be identified from the map that the sandstone is thick and the reservoir has good physical properties. In addition, the sand body of the estuary bar connected to the river channel in the map is also clearly visible; Figure 23 with Figure 24 It can be clearly seen that the downward distribution range of the sand body connected to the river channel becomes smaller.

Example Embodiment

[0161] Example 2
[0162] The method for describing and evaluating the spatial distribution of seismic attribute sand bodies in clastic rock reservoirs in this embodiment is performed for deep channel sand bodies in block TK1115, and includes the following steps:
[0163] 1) Use the method in section 2.1 above to perform spline interpolation and encrypted sampling on the post-stack seismic data to obtain encrypted sampled seismic data;
[0164] 2) Calculate different types of seismic attributes from the encrypted seismic data using the method in section 2.2 above; select the impedance, maximum value, and waveform according to the sensitive relationship between each type of seismic attribute and lithology, porosity, permeability, and oil and gas. Classification, total amplitude, average amplitude, root mean square amplitude, and maximum peak amplitude attributes are comprehensive seismic attributes. Among them, the root mean square amplitude attributes well reflect the meandering channel sand body shape of the oil and gas layers in the block;
[0165] 3) Identify the spatial distribution of sweet sand bodies based on comprehensive seismic attributes;
[0166] 4) Combining with the spatial distribution of sweet sand bodies, the identification and comprehensive evaluation of sand bodies in clastic reservoirs can be realized through the calibration of logging porosity and oil and gas content.
[0167] In this example, the sand body distribution displayed according to the root mean square amplitude attribute is as follows Figure 25-27 Shown. It is better reflected in Figure 23 with Figure 24 The shape of the channel sand body below the channel shown above and intersecting with the channel has obvious differences between the attributes of the channel and the background value, and the leaf-like sand bodies connected to the channel are also clearly visible on the attribute slices.
[0168] It can be identified from the map that the sandstone is thick and the reservoir has good physical properties. In addition, the sand body of the estuary bar connected to the river channel in the map is also clearly visible; Figure 23 with Figure 24 It can be clearly seen that the downward distribution range of the sand body connected to the river channel becomes smaller. Figure 27 Is the root mean square amplitude corresponding to time T46-s3t0-7 in the well area, which better reflects the Figure 25 with Figure 26 The above shows the spatial changes of the sand bodies connected by river channels. The attributes in the figure show that the difference between the attributes of the river channel and the background value is very obvious, and the leaf-like sand body connected to the river channel increases with the depth and the distribution range becomes larger. As the sand body becomes pure, the corresponding seismic wave amplitude also increases.
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