Abstract

Inspired by structural geology, karstology, geomorphology, as well as petroleum geology, coupling excellent documented research works and the field investigation, the status and prospect for the studies on karst feature of Tahe oilfield are discussed comprehensively. Results indicate: (a) the majority of research works have appeared since 2000 and can be classified as three categories and 12 subclasses, in which caves, fracture cave systems and fault-karst reservoirs are considered as the main research topics, (b) existed studies can be divided into four stages, and fault-karst reservoir analysis is a hot spot recently, focusing on the scale of the formed reservoir. It is the common sense that faults control both fractures and caves. Originally, there exist close relationships among karst phenomena whether they're on the ground or underground. Revealing these relationships mentioned above is the important direction for the studies of Tahe oilfield in the future. As for the areas where faults are widely distributed in karst, there exist hierarchical properties in karstology: (1) fault controls topography and landform, (2) fault, topography and landform control the water system and (3) fault, topography, landform and water system control karst. These hierarchical properties are the basic connotation of the laws for karst evolution, and the vital goals of the karst study of Tahe oilfield as well. Applications of methods and techniques and field-karst investigation are the solid guarantees to achieve these goals.

Highlights

  • Tahe oilfield is located at Akekule uplift in Shaya uplift belt of northern Tarim Basin

  • The most important paleo-karst reservoir is developed in Ordovician carbonate rocks

  • Its research contents can be summarized into three categories and twelve categories

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Summary

Introduction

Tahe oilfield is located at Akekule uplift in Shaya uplift belt of northern Tarim Basin. In the study of karst phenomena in Tahe oilfield, seismic and logging methods and techniques are mainly utilized, such as identification and prediction of paleo-karst caves (Yang 2019; Li and Wang 2003), identification of cave-collapse bodies (Kang et al 2014), prediction of cavefilling degree, identification and analysis methods (Yu et al 2017; Wang 2017; Yang et al 2014), characterization of cave-filling materials (Su et al 2015), identification of fracture cave bodies (Wang et al 2017b, 2019b; Li et al 2012; Fan 2005; Li 2005), identification of fracture cave and its filling materials (Fei et al 2012), identification of fracture cave and its filling materials (Fei et al 2012), multi-scale fracture cave classification (Lyu et al 2017a), fracture cave unit division (Song and Liu 2011; Chen et al 2007; Yang et al 2015; Cao 2007; Zhang 2010), fracture cave effectiveness analysis (Wu 2004), reservoir prediction (Qin et al 2018; Sun et al 2018f; Wang 2011; Zhang 2019) and reservoir modeling methods and techniques (Sun et al 2019c; Yan et al 2013; Zhang et al 2007b; Hu et al 2013). Number of refrences (A) The regional and (B) Karst research in (C) Associated method outcrop

B5 B6 B7
Summary and conclusions
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