Influence of sedimentary facies on reservoir quality and distribution of diagenetic features in the Funing Formation, Wanglongzhuang Oilfield, Subei Basin, Eastern China

Li, Liyao; Wei, Jiuchuan; Yin, Huiyong; Xie, Jun; Ding, Yusheng; Shi, Shouqiao

doi:10.1007/s12517-018-3745-6

Cited by 9 publications

(2 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The methods used to identify fractures include conventional logging curve identification method, fracture index method, curvature change rate method, saturation ratio method, discriminant analysis method, fuzzy mathematics method, neural network method, MFI imaging logging method and so on (Wang et al, 2007;Liu et al, 2008;Zhang, 2012). Diagenesis plays a very important role in the evolution of volcanic pores and is an important factor in the development of primary and secondary pores in volcanic reservoirs (Levin, 1995;Liyao et al, 2018;Hu et al, 2020). The Mesozoic volcanic rocks are widely distributed in the Bohai Bay Basin, covering the whole basin (Jin et al, 2012;Cai et al, 2018;Liu X.J.…”

Section: Introductionmentioning

confidence: 99%

Reservoir Characteristics and Main Controlling Factors of the Mesozoic Volcanic Rocks in the D Oilfield in Southern Gentle Slope Zone of the Laizhouwan Sag

Xie

et al. 2021

Front. Earth Sci.

Self Cite

View full text Add to dashboard Cite

The Mesozoic volcanic rocks are widely developed in the Bohai Bay basin. The D oilfield, located in the southeast of the Bohai Bay Basin, is a Cenozoic depression developed on the base of the Mesozoic. The types of the volcanic rocks are complex and the reservoir space is diverse. According to the characteristics of the volcanic reservoir, such as vertical multi-stage and strong heterogeneity, and based on the analysis of the volcanic core observation, thin section identification, logging data and seismic data, we analyzed the reservoir space type, physical property characteristics and reservoir physical property control factors of volcanic reservoir in the study area. The results show that the volcanic rocks in the study area are mainly volcanic breccia, andesite and tuff; the lithofacies types mainly include volcanic eruption facies, effusion facies and volcanic sedimentary facies, and the volcanic eruption facies is the most developed. Four types of volcanic reservoirs and 14 effective storage space types have been identified from the macroscopic and microscopic multi-scale, mainly intergranular pores, intergranular dissolution pores, intracrystalline pores, structural fractures and weathering dissolution fractures. Reservoir performance is mainly affected by lithology, lithofacies, tectonic activity and diagenesis. The primary pores in the upper part of exhalative and explosive facies are the most developed. Early cement filling is beneficial to the preservation of primary intergranular pore space and is an important prerequisite for the formation of secondary dissolution pores. Under the action of multi-stage tectonic movement and weathering leaching, the reservoir performance of volcanic rocks has been greatly improved, and the volcanic rocks with superimposed fractures and porosities are effective volcanic reservoirs.

show abstract

Section: Introductionmentioning

confidence: 99%

Reservoir Characteristics and Main Controlling Factors of the Mesozoic Volcanic Rocks in the D Oilfield in Southern Gentle Slope Zone of the Laizhouwan Sag

Xie

et al. 2021

Front. Earth Sci.

Self Cite

View full text Add to dashboard Cite

show abstract

“…In the traditional sedimentary microfacies division, based on previous research results and regional sedimentary background, sedimentary types in the study area are usually determined by combining paleontology, sedimentology and other theories with the analysis of key well core facies markers. The sedimentary microfacies in the study area are usually divided by comprehensively analyzing the characteristics of rock thickness and grain size and analyzing the morphological characteristics of various logging curves [1][2] . Therefore, it is difficult to find out the qualitative mapping relationship between sedimentary facies and various logging data due to the complicated and tedious cross-analysis of various data.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Identification Method of Sedimentary Microfacies Based on DMC-BiLSTM

Luo¹,

Zhou²,

Yx³

et al. 2021

Preprint

View full text Add to dashboard Cite

Sedimentary microfacies division is the basis of oil and gas exploration research. The traditional sedimentary microfacies division mainly depends on human experience, which is greatly influenced by human factor and is low in efficiency. Although deep learning has its advantage in solving complex nonlinear problems, there is no effective deep learning method to solve sedimentary microfacies division so far. Therefore, this paper proposes a deep learning method based on DMC-BiLSTM for intelligent division of well-logging—sedimentary microfacies. First, the original curve is reconstructed multi-dimensionally by trend decomposition and median filtering, and spatio-temporal correlation clustering features are extracted from the reconstructed matrix by Kmeans. Then, taking reconstructed features, original curve features and clustering features as input, the prediction types of sedimentary microfacies at current depth are obtained based on BiLSTM. Experimental results show that this method can effectively classify sedimentary microfacies with its recognition efficiency reaching 96.84%.

show abstract

Provenance of Cretaceous Dasheng Group Malanggou Formation in the mid-part of the Yishu fault zone, Shandong Province, China

et al. 2019

View full text Add to dashboard Cite

Influence of sedimentary facies on reservoir quality and distribution of diagenetic features in the Funing Formation, Wanglongzhuang Oilfield, Subei Basin, Eastern China

Cited by 9 publications

References 19 publications

Reservoir Characteristics and Main Controlling Factors of the Mesozoic Volcanic Rocks in the D Oilfield in Southern Gentle Slope Zone of the Laizhouwan Sag

Reservoir Characteristics and Main Controlling Factors of the Mesozoic Volcanic Rocks in the D Oilfield in Southern Gentle Slope Zone of the Laizhouwan Sag

Intelligent Identification Method of Sedimentary Microfacies Based on DMC-BiLSTM

Provenance of Cretaceous Dasheng Group Malanggou Formation in the mid-part of the Yishu fault zone, Shandong Province, China

Contact Info

Product

Resources

About