Genetic mechanism of heavy oil in the Carboniferous volcanic reservoirs of the eastern Chepaizi Uplift, Junggar Basin

2019 ◽  
Vol 12 (21) ◽  
Author(s):  
Yang Li ◽  
Xiangchun Chang ◽  
Jinliang Zhang ◽  
Youde Xu ◽  
Dengkuan Gao
2018 ◽  
Vol 6 (2) ◽  
pp. T431-T447 ◽  
Author(s):  
Xiaoming Sun ◽  
Siyuan Cao ◽  
Xiao Pan ◽  
Xiangyang Hou ◽  
Hui Gao ◽  
...  

Volcanic reservoirs have been overlooked for hydrocarbon exploration for a long time. Carboniferous volcanic rocks of the Zhongguai paleouplift contain proven reserves of [Formula: see text]. We have investigated the volcanic reservoirs integrating cores, well, and seismic data, and the proposed volcanic reservoir distribution is controlled by the weathering function, fractures, and lithology. The weathering process makes the originally tight igneous rocks become good-quality reservoirs, and fractures play an important role in connecting different types of pores and act as reservoir space. Isolated and ineffective pores become effective ones due to connection among fractures. Only volcanic breccia can be good-quality reservoirs without any weathering function. The nonlinear chaos inversion controlled by weathered layers shows that the good-quality reservoirs are distributed in the top of the weathering crust and the structural high. Furthermore, fluid-detection attributes and background information prove that oil and gas are distributed along the paleostructural high. The objectives of this study were to (1) describe the characteristics of volcanic reservoirs and determine the controlled rules for reservoir distribution, (2) characterize the distribution of reservoirs and hydrocarbon, and (3) propose an effective workflow for hydrocarbon exploration in volcanic rocks combining geologic and geophysical methods.


2012 ◽  
Vol 86 (2) ◽  
pp. 447-461 ◽  
Author(s):  
ZHU Shifa ◽  
ZHU Xiaomin ◽  
NIU Huapeng ◽  
HAN Xuefang ◽  
ZHANG Yueqian ◽  
...  

2019 ◽  
Vol 12 (16) ◽  
Author(s):  
Xueliang Li ◽  
Mingshui Song ◽  
Huixi Lin ◽  
Kuihua Zhang ◽  
Haoguo Shi ◽  
...  

2012 ◽  
Vol 616-618 ◽  
pp. 228-233
Author(s):  
Zhong Chun Sun ◽  
Zhong Hong Chen ◽  
Yu Hua Kong ◽  
Wen Liu ◽  
Men Yun Yang

The physical properties of reservoirs determine the ability on accumulating hydrocarbon. As one of the unconventional hydrocarbon reservoirs, the volcanics own the different characteristics from the clastic rocks on physical properties. The study on the relationship between physical and electrical properties of deep volcanic reservoirs was conducted, using the Luxi area of Junggar basin as an example. By our study, some conclusions have been made: The heterogeneity of physical properties is strong in volcanic rocks whose porosity and permeability vary in different lithology and lithofacies; different rocks in a same well have various values of porosity and permeability, and a certain type of volcanic rock has different values of porosity and permeability in diverse wells. According to measured data, the value of porosity an permeability in erupting and effusive facies area are high, while in volcanic channel and extrusive facies as well as volcanic sedimentation facies are low. Unlike the clastic rocks, in volcanic rocks there is little relationship between porosity and permeability and all of them do not have close relationship to the buried depth. Different electrical responses have different relationship with the porosity of one certain lithology, while one certain electrical property has different responses for the porosities of different lithologies; comparatively speaking, the porosities of tuffites, breccia correlate intensively with GR, SP and AC, so these electrical parameters can be utilized to predict the physical properties. This study illustrated that the relativities between porosity and GR, AC, and SP are Por=-0.6189×GR+52.691 (R2=0.9311), Por =-0.3771×AC + 34.5 (R2=0.8876) and Por = 2.1458×SP + 79.404 (R2=0.8236).


2021 ◽  
Author(s):  
Zhi Yang ◽  
Aiguo Zhu ◽  
Yanhui Chen ◽  
Yonghe Yan ◽  
Jingfeng Yu ◽  
...  

2017 ◽  
Author(s):  
Hanpeng Cai ◽  
Huiqin Zuo ◽  
Chuanyong Wen ◽  
Feng Qian ◽  
Haoguo Shi ◽  
...  

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