频谱差异烃类检测新方法在东胜气田的应用

doi:10.11720/wtyht.2020.0152

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Abstract

The crucial precondition of using spectral attributes to conduct hydrocarbon detection is to investigate the spectral differences between gas-bearing and none-gas bearing area.In order to determine the spectrum difference between hydrocarbon bearing and none-hydrocarbon bearing areas intuitively and incorporate the constraints of oil and gas production testing data,this paper proposes a hydrocarbon detection technology based on spectrum difference,which divides known wells into hydrocarbon-bearing wells and non-hydrocarbon bearing wells according to the actual oil and gas production testing data and research needs.By comparing the instantaneous amplitude spectral of pay zones of classified objects,researchers can recognize spectral differences related to hydrocarbons and use the intersection of multiple spectrum attributes to characterize the differences so as to obtain the seismic hydrocarbon-bearing areas that could be identified.The maximum trough amplitude was determined as the relative advantage attribute to recognize the reservoir information of the H1 member according to the forward modeling contrast between presence and absence of underlying coal seams.More in-depth analysis shows that the spectrum difference can better forecast hydrocarbon-bearing and hydrocarbon-absent zones than the maximum trough amplitude.The differences of spectral attributes between hydrocarbon-bearing areas and non-hydrocarbon bearing areas was quantified by setting attributed threshold value,and the spectral attributes in individual thresholds of the four spectral attributes were crossplotted to dentify the potential hydrocarbon bearing areas.The hydrocarbon dictation results are supported by horizontal wells,which indicates the method is reliable.

Key words： spectrum differences spectral attribute attribute crossplots hydrocarbon detection

Received: 30 March 2020 Published: 28 August 2020

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	Dong-Hui WANG
	Xiao-Chuan WU

Cite this article:

Dong-Hui WANG,Xiao-Chuan WU. A new method of spectrum difference hydrocarbon detection and its application to the Dongsheng gas field[J]. Geophysical and Geochemical Exploration, 2020, 44(4): 709-718.

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https://www.wutanyuhuatan.com/EN/10.11720/wtyht.2020.0152 OR https://www.wutanyuhuatan.com/EN/Y2020/V44/I4/709

The basic for the area difference method,attenuated gradient method,spectral attenuated method and fluid flow method

The regional map of 3D seismic area in Dongsheng gas field(a) and the distribution of well locations and gas-water column diagram of the H1 member in 3D survey(b)

The well section profile of the H1 member,including well J77,well J120 and well J123, showing the location of the payzones of the H1 member

The seismic section crossing well J77,well J120 and J121,marked with horizons

Forward model with coal seams (a) and without coal seams (b)

The RMS of the H1 member(a) and the maximum absolute value amplitude of the trough above the T₉d peak(b)

Histogram of the RMS attribute at the well location corresponding to the H1 member(a) and histogram of the maximum absolute value amplitude at the well location corresponding to the trough above the T₉d peak(b)

Instantaneous amplitude spectrum (a) and integrated amplitude spectrum (b) of the H1 member corresponding to gas-bearing wells and non-gas-bearing wells

Histogram of the isolated amplitude at the well locations of the H1 member, corresponding to 10 Hz (a), 15 Hz (b), 20 Hz (c), 25 Hz (d), respectively

Histogram of the integrated amplitude at the well locations of the H1 member,corresponding to 10 Hz (a),15 Hz (b),20 Hz (c),25 Hz (d),respectively

Histogram of the low frequency attenuated gradient(a) and high frequency attenuated gradient(b) at the well locations of the H1 member

The crossploting flow diagram of the attributes within the threshold value, including integrated amplitude of 25 Hz, the low frequency attenuated gradient attribute, the high frequency attenuated attributed and the 10 Hz isolated amplitude

The superimposed map of the gas-water column of the H1 member and spectral difference area,white area indicating the non-gas-bearing area while colorful area indicating the potential gas-bearing area revealed by seismic data

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