基于图论聚类和最小临近算法的岩性识别方法——以四川盆地西部雷口坡组碳酸盐岩储层为例

doi:10.11743/ogg20200420

Abstract

Abstract:

Carbonate rocks have the characteristics of strong heterogeneity, changing lithology and various rock types, which make it difficult to recognize their fine lithologic features and seriously restrict the calculation of reservoir parameters as well as subsequent oil/gas development. The carbonate reservoirs in the Leikoupo Formation in western Sichuan Basin were studied to deal with the problem. Core and thin slice observation and other analysis results revealed eight distinctive lithologic facies in the reservoirs: the algal bonded dolomite, crystal powder dolomite, dolomicrite, calcite dolomite, dolomitic limestone, limestone, gypsum dolomite and gypsum. Their log responses were also identified. In addition, machine learning was combined with multi-resolution graph-based clustering to establish a lithology identification training model by using the known and named lithologic samples as training data. Subsequently, the lithology of reservoirs in other wells was predicted with the K-Nearest Neighbor, thus realizing a fine identification of different lithologic facies. Field application of the method shows a 91.3% of overall coincidence rate of lithology recognition, indicating an improved accuracy in lithology identification.

Key words: log response, machine learning, graphic clustering, K-Nearest Neighbor, unknown well prediction, lithology identification, carbonate, western Sichuan Basin

CLC Number:

TE135.1

Qiangfu Kong, Cai Yang, Hao Li, Chao Geng, Jian Deng. A lithology recognition method based on multi-resolution graph-based clustering and K-Nearest Neighbor:A case study from the Leikoupo Formation carbonate reservoirs in western Sichuan Basin[J]. Oil & Gas Geology, 2020, 41(4): 884-890.

Figures/Tables 8

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井名	顶深/m	测井岩性	薄片定名	是否符合
彭州1井	5 820.65	粉晶白云岩	粉晶白云岩	是
彭州1井	5 822.77	灰质白云岩	灰质白云岩	是
彭州1井	5 824.50	灰质白云岩	白云质灰岩	否
彭州103井	5 941.00	灰岩	灰岩	是
彭州103井	5 949.00	灰岩	灰岩	是
彭州103井	6 023.56	泥晶白云岩	灰质白云岩	否
彭州103井	6 043.65	粉晶白云岩	粉晶白云岩	是
彭州115井	6 331.36	白云质灰岩	白云质灰岩	是
彭州115井	6 371.00	泥晶白云岩	泥晶白云岩	是
彭州115井	6 380.00	灰岩	白云质灰岩	否
羊深1井	6 202.80	藻粘结白云岩	藻粘结白云岩	是
羊深1井	6 202.90	藻粘结白云岩	藻粘结白云岩	是
鸭深1井	5 771.50	粉晶白云岩	粉晶白云岩	是
鸭深1井	5 771.60	粉晶白云岩	粉晶白云岩	是
白云岩类符合率		94.6%	总体符合率	91.3%
灰岩类符合率		87.2%	总体符合率	91.3%

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A lithology recognition method based on multi-resolution graph-based clustering and K-Nearest Neighbor:A case study from the Leikoupo Formation carbonate reservoirs in western Sichuan Basin

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