scholarly journals Unravelling the Hydrocarbon Charge Process by Using Microscopic Fluorescence Technique——a Case Study from Dina 2 Condensate Gasfield in Kuqa Depression, Western China

2020 ◽  
Author(s):  
Hai Wu ◽  
Shaobo Liu ◽  
Qingong Zhuo ◽  
Xuesong Lu
Keyword(s):  
Western China ◽  
Fluorescence Technique ◽  
Kuqa Depression ◽  
Charge Process ◽  
Hydrocarbon Charge

scholarly journals Modeling Insights into Precipitation Deuterium Excess as an Indicator of Raindrop Evaporation in Lanzhou, China

Water ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 193
Author(s):  
Fenli Chen ◽  
Mingjun Zhang ◽  
Athanassios A. Argiriou ◽  
Shengjie Wang ◽  
Qian Ma ◽  
...  
Keyword(s):  
Arid Region ◽  
Quantitative Methods ◽  
Isotope Composition ◽  
Sampling Site ◽  
Western China ◽  
Cloud Base ◽  
Deuterium Excess ◽  
Semi Arid Region ◽  
Semi Arid

The deuterium excess in precipitation is an effective indicator to assess the existence of sub-cloud evaporation of raindrops. Based on the synchronous measurements of stable isotopes of hydrogen and oxygen (δ2H and δ18O) in precipitation for several sites in Lanzhou, western China, spanning for approximately four years, the variations of deuterium excess between the ground and the cloud base are evaluated by using a one-box Stewart model. The deuterium excess difference below the cloud base during summer (−17.82‰ in Anning, −11.76‰ in Yuzhong, −21.18‰ in Gaolan and −12.41‰ in Yongdeng) is greater than that in other seasons, and difference in winter is weak due to the low temperature. The variations of deuterium excess in precipitation due to below-cloud evaporation are examined for each sampling site and year. The results are useful to understand the modification of raindrop isotope composition below the cloud base at a city scale, and the quantitative methods provide a case study for a semi-arid region at the monsoon margin.

A novel exploration technique using the microbial fingerprint of shallow sediment to detect hydrocarbon microseepage and predict hydrocarbon charge — An Argentinian case study

2021 ◽  
pp. 1-79
Author(s):  
Alin G. Chitu ◽  
Mart H. A. A. Zijp ◽  
Jonathan Zwaan
Keyword(s):  
Machine Learning ◽  
Oil Field ◽  
Dna Fingerprint ◽  
Evolutionary Constraint ◽  
Technology Study ◽  
Gas Field ◽  
Hydrocarbon Microseepage ◽  
Hydrocarbon Charge ◽  
Abundance And Distribution

The fundamental assumption of many successful geochemical and geomicrobial technologies developed in the last 80 years is that hydrocarbons leak from subsurface accumulations vertically to the surface. Driven by buoyancy, the process involves sufficiently large volumes directly measurable or indirectly inferable from their surface expressions. Even when the additional hydrocarbons are not measurable, their presence slightly changes the environment, where complex microbial communities live, and acts as an evolutionary constraint on their development. Since the ecology of this ecosystem is very complicated, we propose to use the full-microbiome analysis of the shallow sediments samples instead of targeting a selected number of known species, and the use of machine learning for uncovering the meaningful correlations in these data. We achieve this by sequencing the microbial biomass and generating its “DNA fingerprint”, and by analyzing the abundance and distribution of the microbes over the dataset. The proposed technology uses machine learning as an accurate tool for determining the detailed interactions among the various microorganisms and their environment in the presence or absence of hydrocarbons, thus overcoming data complexity. In a proof-of-technology study, we have taken more than 1000 samples in the Neuqu謠Basin in Argentina over three distinct areas, namely, an oil field, a gas field, and a dry location outside the basin, and created several successful predictive models. A subset of randomly selected samples was kept outside of the training set and blinded by the client operator, providing the means for objectively validating the prediction performance of this methodology. Uncovering the blinded dataset after estimating the prospectivity revealed that most of these samples were correctly predicted. This very encouraging result shows that analyzing the microbial ecosystem in the shallow sediment can be an additional de-risking method for assessing hydrocarbon prospects and improving the Probability Of Success(POS) of a drilling campaign.

Studies on flexible rockfall barriers for failure modes, mechanisms and design strategies: a case study of Western China

Landslides ◽  
2018 ◽  
Vol 16 (2) ◽  
pp. 347-362 ◽  
Author(s):  
Z. X. Yu ◽  
L. Zhao ◽  
Y. P. Liu ◽  
S. C. Zhao ◽  
H. Xu ◽  
...  
Keyword(s):  
Failure Modes ◽  
Western China ◽  
Design Strategies
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