模糊相似法对页岩气选区评价的应用——以四川盆地海相页岩气为例

Abstract

Abstract:

At present, the optimizing evaluation indexes of the existing favorable target areas of shale gas, is not comprehensive, and the evaluation methods are not taking full advantage of the uncertain information indexes. Therefore, the enrichment, accumulate, and storage of the shale gas, and the surface condition of the exploration and development are analyzed. On this base, by combining the successful exploring experience of the shale gas aboard with the characteristics of the domestic marine shale gas accumulation, we selected 13 comprehensive evaluation indexes, including the netshale thickness and the organic carbon content of the shale gas favorable target areas, and proposed the corresponding classified evaluation standards. Because of the thick shale gas reservoir, the heterogeneity and the lack of the geological awareness of the evaluation parameters, the interval value of the evaluation indexes replaced the average value of the uncertain information evaluation index, and the fuzzy similarity evaluation method based on the fuzzy similar theory was established. The calculation results show that, compared with the comprehensive information superposition method, this method is more reasonable, effective, simple and useful. It can provide reliable evidences for the optimal of the favorable target areas of shale gas.

Key words: fuzzy similarity method, fuzzy similarity coefficient, marine shale gas, target area of shale gas

CLC Number:

P618

Wang Sihang,Tian Xiaolin,Wang Chuke,Feng Yongguang,Wu Deqiang,Bai Jiaquan,Li Hui,Kong Decai. Application of fuzzy similarity methods for evaluating the district of shale gas: A case of marine shale gas in Sichuan Basin[J].Reservoir Evaluation and Development, 2018, 8(1): 71-75.

Figures/Tables 5

Table 1

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Table 3

References 10

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评价等级	有效厚度/m	有机碳含量,%	有机质类型	成熟度,%	孔隙度,%	含气量/（m³·t^-1）	脆性矿物含量,%	断层类型	压力系数	埋深/m	封盖层	地表条件	地面设施
有利区	≥30	≥3	Ⅰ~Ⅱ₁	1.6~2.5	≥4	≥2	40~60	微型~小型	≥1.3	1 500 ~ 3 000	膏盐岩	平原、丘陵	管网、设施齐全
较有利区	10~30	1~3	Ⅱ₂~Ⅲ₂	1.0~1.6或2.5~5	2~4	1~2	30~40	中型	0.7~1.3	500 ~ 1 500或3 000 ~ 4 000	致密砂岩、灰岩、泥岩	高原、低山	有一定管网、设施
不利区	≤10	≤0.5	Ⅲ₃	≥5或≤1.0	≤2	≤1	≤30	大型	≤0.7	200~500或4 000~5 000	一般砂岩	高山、戈壁、湖沼	少有管网、设施或无

评价指标			有效厚度/m	有机碳含量,%	有机质类型	成熟度,%	孔隙度,%	含气量/（m³·t^-1）	脆性矿物含量,%	裂缝发育程度	压力系数	埋深/ m	盖层	地表条件
页岩气评价区块	JY1井区	龙马溪组	90 ~ 100	1.5 ~ 5.89	Ⅰ	2.3 ~ 3.13	3 ~ 7.89	2 ~ 5.5	33.9 ~ 60	小型	1.41 ~ 1.45	2 300 ~ 2 800	泥岩	平原、丘陵
	W201井区	筇竹寺组	47 ~ 57	1.9 ~ 3.9	Ⅰ	2.5 ~ 4.5	1.2 ~ 3.2	1.1 ~ 2.8	40 ~ 50	小型	1.1 ~ 1.2	2 652 ~ 2 704	泥岩	丘陵
	N201井区	筇竹寺组	41 ~ 51	2 ~ 4.5	Ⅰ	2.8 ~ 3.2	3 ~ 6	1.7 ~ 3.5	40 ~ 50	小型	1.18 ~ 2.1	2 479 ~ 2 525	泥岩	丘陵
	N203井区	筇竹寺组	60 ~ 70	2.5~4.2	Ⅰ	2.8 ~ 3.2	2 ~ 6	3.5 ~ 6.5	35 ~ 45	小型	1.3~1.5	2 230 ~ 2 293	泥岩	丘陵
	Y1井区	龙马溪组	30 ~ 40	1.5 ~ 2.2	Ⅱ₁	1.7 ~ 1.9	1.5 ~ 2.5	0.8 ~ 1.8	42 ~ 50	小型	1.1 ~ 1.2	2 000 ~ 2 500	泥质砂岩	丘陵

评价区	理想有利区	理想较有利区				不利区
评价区	S_i₇	S_i₈	S_i₉	S_i₁₀	S_i₁₁	S_i₁₂	S_i₁₃	S_i₁₄	S_i₁₅
JY1井区龙马溪组	0.986 3	0.963 8	0.964 3	0.964 7	0.965 2	0.945 4	0.945 6	0.945 3	0.945 5
W201井区筇竹寺组	0.968 1	0.984 1	0.984 5	0.986 2	0.986 9	0.971 3	0.971 8	0.969 4	0.969 8
N201井区筇竹寺组	0.967 8	0.978 8	0.979 2	0.979 9	0.980 4	0.961 1	0.961 2	0.960 3	0.960 4
N203井区筇竹寺组	0.978 7	0.967 7	0.967 7	0.968 8	0.968 9	0.949 9	0.949 7	0.949 2	0.948 9
Y1井区龙马溪组	0.961 1	0.989 1	0.979 1	0.987 8	0.987 8	0.981 1	0.980 8	0.983 2	0.982 9

Application of fuzzy similarity methods for evaluating the district of shale gas: A case of marine shale gas in Sichuan Basin

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