Formation of abnormally high porosity/permeability in deltaic sandstones (Oligocene), Bozhong depression, offshore Bohai Bay Basin, China

2020 ◽  
Vol 121 ◽  
pp. 104616
Author(s):  
Huan Li ◽  
Xiaofeng Du ◽  
Qingbin Wang ◽  
Xianghua Yang ◽  
Hongtao Zhu ◽  
...  
2016 ◽  
Vol 90 (6) ◽  
pp. 2163-2181 ◽  
Author(s):  
Junfeng ZHAO ◽  
Chiyang LIU ◽  
Lei HUANG ◽  
Nigel MOUNTNEY ◽  
Shaojia HAN ◽  
...  

2015 ◽  
Vol 3 (4) ◽  
pp. SAE19-SAE28 ◽  
Author(s):  
Zhiguo Wang ◽  
Cheng Yin ◽  
Xiaolan Lei ◽  
Faming Gu ◽  
Jinghuai Gao

The Paleogene Lower Dongying Formation of the Bohai Bay Basin, China, consists of a series of vertically stacked sand-filled delta distributary channels. These laterally complex sandstones create the need for a precise interwell estimation of reservoir porosity. In this study, we integrated wireline logs from 101 wells and [Formula: see text] of seismic data to directly predict porosity in the area of an existing heavy-oil field in the middle of the Liaoxi Uplift, Bohai Bay Basin. The top and the bottom horizons of the target oil unit interpreted on high-quality 3D seismic data are used to constrain the time window for 41 horizon-based attribute extractions. Next, we used the joint rough sets and Karhunen-Loève transform (K-L transform) selection method to choose the optimal number and the type of seismic attributes that exhibit a high correlation with porosity. Finally, a method combinings multiple linear regression and radial basis function neural network was used to predict porosity based on the selected attribute subsets. After error analysis of the 101 wells, the results from the joint attribute selection approach showed the least prediction error at well locations because the joint attribute selection captured the linear and nonlinear relationship between attributes and porosities. We obtained a geologically realistic predicted porosity distribution using the joint approach, which suggested a network of main distributary channel sands characterized by high-porosity zones (approximately 32%).


2014 ◽  
Vol 57 (3) ◽  
pp. 307-317 ◽  
Author(s):  
LI Wen-Zheng ◽  
JIAO Ya-Xian ◽  
ZUO Yin-Hui ◽  
SONG Xin-Ying ◽  
QIU Nan-Sheng

Minerals ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 1368
Author(s):  
Lihong Zhou ◽  
Yong Li ◽  
Fengming Jin ◽  
Lixin Fu ◽  
Xiugang Pu ◽  
...  

Carboniferous-Permian petroleum resources in the Huanghua Depression of the Bohai Bay Basin, a super petroleum basin, are important exploration successor targets. The reservoir sedimentary environment of coal measures in the Upper Paleozoic buried hills is variable, and the structural evolution process is complicated, which restricts the optimization of targeting sections. Using the analysis and testing results of logging, thin section, porosity, mercury injection, hydrochemistry, and basin simulation, this study revealed the formation mechanism differences of tight sandstones in the Upper Paleozoic period in different buried hills. The results show that the sandstones are mainly feldspathic sandstone, lithic arkose, feldspathic lithic sandstone, and feldspathic lithic quartz sandstone. The quartz content varies between 25% and 70%, averaging 41%. Feldspar and debris are generally high, averaging 31% and 28%, respectively. Secondary dissolution pores are the main reservoir spaces, with 45% of the tested samples showing porosity of 5–10%, and 15% being lower than 5%. The pore radium is generally lower than 100 nm, and the sandstones are determined as small pore with fine throat and medium pore with fine throat sandstones by mercury saturation results. Frequent changing sedimentary environments and complex diagenetic transformation processes both contribute to the reservoir property differences. The former determines the original pore space, and the latter determines whether they can be used as effective reservoirs by controlling the diagenetic sequences. Combining tectonic movement background and different fluid history, the different formation mechanisms of high-porosity reservoirs are recognized, which are atmospheric leaching dominated (Koucun buried hills), atmospheric water and organic acid co-controlled (Wangguantun and Wumaying buried hills), and organic acid dominated (Nandagang buried hills) influences. The results can be beneficial for tight gas exploration and development in coal measures inside clastic buried hills in the Bohai Bay Basin.


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