Detailed sedimentary facies of a sandstone reservoir in the eastern zone of the Sulige gas field, Ordos Basin

Li, Yijun; Zhao, Yong; Yang, Renchao; Fan, Aiping; Li, Fuping

doi:10.1016/s1674-5264(09)60302-1

Cited by 7 publications

(8 citation statements)

References 7 publications

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“…certain distance from the sediment provenance [30,31]. The corresponding relationship between the shape and the superimposed pattern of well logs in cored wells and the total of six sedimentary microfacies was established, which is different from those braided river geological models proposed by Miall et al [32,33].…”

Section: Methodsmentioning

confidence: 80%

“…Generally, the sedimentary background of the study area should be known and the qualitative identification model of depositional microfacies should be established [28,29]. The target reservoir in the study area is the He-8 reservoir of Lower Shihezi in the Su-77 block of the Sulige gas field, and the whole body of He-8 is sandy braided river depositional systems in a region of wet marshes, at a certain distance from the sediment provenance [30,31]. The corresponding relationship between the shape and the superimposed pattern of well logs in cored wells and the total of six sedimentary microfacies was established, which is different from those braided river geological models proposed by Miall et al [32,33].…”

Section: Methodsmentioning

confidence: 99%

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Support Vector Machine Algorithm for Automatically Identifying Depositional Microfacies Using Well Logs

et al. 2019

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Depositional microfacies identification plays a key role in the exploration and development of oil and gas reservoirs. Conventionally, depositional microfacies are manually identified by geologists based on the observation of core samples. This conventional method for identifying depositional microfacies is time-consuming, and only the depositional microfacies in a few wells can be identified due to the limited core samples in these wells. In this study, the support vector machine (SVM) algorithm is proposed to identify depositional microfacies automatically using well logs. The application of SVM includes the following steps: First, the depositional microfacies are determined manually in several wells with core samples. Then, the training sets used in the SVM algorithm are extracted from the well logs. Finally, a quantitative discrimination model based on the SVM algorithm is established to realize the classification of depositional microfacies. Field application shows that this innovative and constructive solution can be effectively used in uncored wells to identify depositional microfacies with a rate of accuracy approaching 84%. It overcomes the limitation of the conventional manual method which greatly contributes to the cost-saving of core analysis and improves the sustainable profitability of oil and gas exploration.

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Section: Methodsmentioning

confidence: 80%

Section: Methodsmentioning

confidence: 99%

Support Vector Machine Algorithm for Automatically Identifying Depositional Microfacies Using Well Logs

et al. 2019

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“…The depositional facies of He8 member in the Ordos Basin have been well documented in many researches (Fic & Pedersen, 2013;Guo, Jia, He, Tang, & Liu, 2016;Li et al, 2010;Yang, Fu, Wei, & Liu, 2008;Yang & Liu, 2014). It is documented that the depositional environments of the He8 member in Sulige area are recognized as braided river (Guo et al, 2016).…”

Section: Depositional Faciesmentioning

confidence: 91%

“…There are few faults and folds developed in Yishan Slope, which is the main tectonic unit (Zhao, Zhang, Li, Cao, & Fan, 2014;Zhu et al, 2009). During the Caledonian movement in late Early Palaeozoic, the North China Block was uplifted, and erosion widely developed across the basin, thus leading to the loss of strata from Upper Ordovician to Lower Carboniferous (Li, Zhao, Yang, Fan, & Li, 2010;Yang et al, 2017). The upper Carboniferous strata contain Benxi Formation, while the Permian strata in the North China Block is represented by the Taiyuan Formation (P 1 t), Shanxi Formation (P 2 s), Shihezi Formation (P 2 h), and Shiqianfeng Formation (P 3 q) (Wang et al, 2011;Zhao et al, 2014).…”

Section: Tectonic Evolution and Stratigraphymentioning

confidence: 99%

Impact of petrographic characteristics on reservoir quality of tight sandstone reservoirs in coal‐bearing strata: A case study in Lower Permian Shihezi Formation in northern Ordos Basin, China

Liu

et al. 2021

Geological Journal

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The lower Shihezi Formation in the Sulige gas field is the main gas exploitation target in the Ordos Basin and is crucial in finding high-quality reservoirs for further exploration.Using X-ray diffraction, cathodoluminescence (CL), and scanning electron microscope (SEM) techniques, the eighth member of lower Shihezi Formation (He8) sandstones are characterized as fine-to coarse-grained quartzarenite and litharenite with good sorting, which are controlled by different sources and depositional faces. Four types of sandstones are recognized according to varied petrographic characteristics, among which fine-grained sandstones (type I) has the poorest reservoir quality and coarse-grained sandstones with chlorite coating (type II) are the best reservoirs. The complicated diagenetic process mainly includes intense compaction, two-stage dissolution, quartz and calcite cementation, which is closely associated with the thermal evolution of coals. The increased ductile fragments account for low reservoir quality in type I sandstones. Due to the absence of feldspar, the influence of other detrital components on the reservoir quality has increased. Sandstones with abundant volcanic fragments (type II) usually formed grain-coating chlorite, which inhibit tight compaction and quartz cementations.Quartz overgrowth originated from feldspar dissolution as well as pressure dissolution of detrital quartz are frequently observed in medium-to coarse-grained quartzarenite (type III). The high-quality reservoir exits when the ductile grains content is about 4%, according to the negative relationship between quartz cement and ductile content.Although there are a lot of dissolution pores in medium-to coarse-grained litharenite (type IV), the reservoir quality did not improve much due to the diagenetic minerals filling in the secondary pores. K E Y W O R D S coal-bearing strata, diagenesis, Ordos Basin, petrographic characteristics, quartz cementation, tight gas reservoir 1 | INTRODUCTION Tight sandstone reservoirs in coal-bearing strata are gradually receiving much interest because of their large hydrocarbon reserves worldwide (Zou et al., 2012). In China, the production of gas in coal buried strata has reached 902 × 10 8 m 3 , accounting for 61.5% of the total production (Zou et al., 2019). Therefore, it is very significant to focus on factors affecting production in coal buried tight sandstones.

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“…Channel sand developed in a low system tract is the main reservoir rock (Shen, Guo, & Li, ; Shen, Guo, Li, & Sun, ). Li, Zhao, Yang, Fan, and Li () analysed the fluvial‐delta sedimentary system of the Shan1 Member by core observation, petrography, granularity, and well logs in the eastern zone of the SGF, and come up with a conclusion that the Shan1 Member was deposited in braided rivers and deltas. The reservoir characteristics of the Shan1 Member were analysed based on core, flake, and test data.…”

Section: Introductionmentioning

confidence: 99%

Potentials of low permeability gas in intracratonic basin: Insights from sedimentary facies of the Shan1 Member in the Su6‐Zhao42 Block of the Sulige gas field, Ordos Basin

Wang

Liu

et al. 2017

Geological Journal

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The Sulige gas field is a typical low permeability gas field with multi‐thin layer of pay zones. The upper member of the Shanxi Formation (Shan1) is the primary productive layer of the Su6‐Zhao42 area, located in the north‐west of the Shanbei Slope of the Sulige gas field. The Shan1 Member could be divided into 3 tiny sequences by coring and well logging data. On the basis of sedimentary sequence analysis, the sedimentary environment and facies are studied combined with lithological information, logging data, and sampling. This paper summarizes the characteristics and distribution of the sedimentary facies of the Shan1 Member in the Su6‐Zhao42 area. During the deposition of the Shan1 Member, this area developed a meandering river sedimentary facies, which can be subdivided into meandering riverbed, river floodplain, and abandoned channel subfacies. The sedimentary facies of meandering river in the Shan1 Member are characterized by point bars, crevasse splays, floodplains, flood swamps, and abandoned channels. The sedimentary facies bands extend roughly east‐west parallel to the meandering river. It is indicated that the sand bodies deposited in river channel have better physical conditions and larger thickness for gas accumulation based on the analysis of physical characteristics and seismic attributes. The effective reservoir, being controlled by the sedimentary facies belt, distributes along a NE–SW trending belt where is the favourable area for the gas reservoir.

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Detailed sedimentary facies of a sandstone reservoir in the eastern zone of the Sulige gas field, Ordos Basin

Cited by 7 publications

References 7 publications

Support Vector Machine Algorithm for Automatically Identifying Depositional Microfacies Using Well Logs

Support Vector Machine Algorithm for Automatically Identifying Depositional Microfacies Using Well Logs

Impact of petrographic characteristics on reservoir quality of tight sandstone reservoirs in coal‐bearing strata: A case study in Lower Permian Shihezi Formation in northern Ordos Basin, China

Potentials of low permeability gas in intracratonic basin: Insights from sedimentary facies of the Shan1 Member in the Su6‐Zhao42 Block of the Sulige gas field, Ordos Basin

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