致密砂岩裂缝测井识别特色技术及其应用效果——以四川盆地川西坳陷新场气田上三叠统须家河组二段为例

doi:10.11743/ogg20210418

Abstract

Abstract:

Fractures are a key factor for high and stable production of tight sandstone reservoirs.The coincidence rate of fracture identification based on conventional logging is, however, low, due to the low resolution of conventional logging, rapid change of lithology and physical properties of tight sandstone, small-scale fractures with variable occurrences.Based on the concluded regional fracture types and fracture logging response characteristics, we innovatively extract multiple factors sensitive to fracture such as resistivity reduction and moveout augmentation in the tight sandstone of the second member of Xujiahe Formation (hereinafter referred to as Xu 2 Member) in Xinchang gas field, Western Sichuan Depression.Furthermore, resistivity dimension and acoustic dimension constraint index are selected to suppress the interference effect with the amplification of fracture signals; and the gray correlation is applied for the first time to determine the weight coefficient of sensitive factors, the fracture indication curve is calculated by weighting, and the threshold constraint is used to identify fractures.In comparison with the fracture response pattern library, the fracture type is identified by clustering.In comparing with electric imaging data of the 5 wells including Wells X5 and X101, the coincidence rate of fracture identification reaches up to more than 90%, providing a favorable basis for the study of fracture distribution pattern, reservoir type evaluation and productivity prediction of tight sandstones.

Key words: fracture sensitivity factor, grey correlation, conventional logging, fracture identification, tight sandstone, Xinchang gas field, Western Sichuan Depression

CLC Number:

TE122.2

Zhiyuan Liu, Hao Li, Qingzhao Wu, Zeyu Nan, Junlei Su, Wujun Jin. Characteristics and application effect of logging-based fracture identification in tight sandstones: A case study of the Upper Triassic Xu 2 Member in Western Sichuan Depression, Sichuan Basin[J]. Oil & Gas Geology, 2021, 42(4): 981-991.

Figures/Tables 9

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敏感因子	公式	优势
电阻率降低因子RT_GR_FF	$ \frac{{\ln R{D_{{\rm{evp}}}} - \ln RD}}{{GR}} $	各类缝
时差增大因子AC_FF	$ \left( {AC - A{C_{{\rm{evp}}}}} \right)\left( {1 - {V_{{\rm{sh}}}}} \right) $	低角缝、裂缝破碎带
电阻率幅度差因子RDS_FF	$ \lg R{S_{{\rm{evp}}}}/RS - \lg R{D_{{\rm{evp}}}}/RD $	斜交缝、高角缝
自然电位因子SP_FF	$ \frac{{S{P_{{\rm{evp}}}} - SP}}{{GR}} $	层间缝、低角缝、破碎带
电阻率维度(约束指标) RT_fct	$ {\sum\limits_{i = 1}^m {\left\| {\lg R{D_{i + 1}} - \lg R{D_i}} \right\|} /m} $	裂缝与孔隙储层区分
声波维度(约束指标) AC_fct	$ {\sum\limits_{i = 1}^m {\left\| {A{C_{i + 1}} - A{C_i}} \right\|} /m} $	裂缝与孔隙储层区分

裂缝类型	电阻率降低因子	时差增大因子	电阻率幅度差因子	自然电位因子
低角缝	0.27	0.060	0.004	0.070
斜交缝	0.29	0.004	0	0.080
高角缝	0.14	0.040	0.080	0.001
网状缝	0.44	0.190	0.020	0.030

地层	井号	井类型	总取样数/个	非裂缝样品符合数/个	裂缝样品符合数/个	符合率/%
须二上亚段	X5	建模井	1 239	1 023	143	94.1
	L150		982	875	76	96.8
	X501		2 056	1 853	96	94.8
	X601	盲井	1 702	1 190	370	91.8
	X11	盲井	988	898	43	95.2
须二中亚段	X3	建模井	1 694	1 357	122	87.3
	X5	建模井	1 158	881	164	90.2
	X11	盲井	1 873	1 743	30	94.7
	X501	盲井	1 063	783	168	89.5

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Characteristics and application effect of logging-based fracture identification in tight sandstones: A case study of the Upper Triassic Xu 2 Member in Western Sichuan Depression, Sichuan Basin

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