Quantitative characterization of crude oil cracking pressurization in the south of transition zone of Aman, Tarim Basin

2021 ◽  
Author(s):  
Hongrui Zhang ◽  
Hua Liu
Keyword(s):  
Crude Oil ◽  
Transition Zone ◽  
Tarim Basin ◽  
Simulation Method ◽  
Quantitative Model ◽  
The South ◽  
Quantitative Characterization ◽  
Experimental Apparatus ◽  
Oil Cracking

<p>The overpressure has a significant effect on hydrocarbon migration and accumulation. Scholars have gradually focused on the quantitative characterization of overpressure, which proposes many overpressure quantitative models suitable for different overpressure mechanisms. However, there are few studies on quantitative characterization of overpressure in crude oil cracking. In view of this, taking the south of Aman transition zone in Tarim Basin as the research object, recovered the overpressure characteristics of the research area in the reservoir forming period, and established the quantitative model of crude oil cracking pressurization.</p><p>Firstly, according to the data about fluid inclusions tested by some experimental apparatus, the paleo-pressures were calculated by PVTx simulation method and basin simulation method. Next, based on the volume increment of crude oil cracking is equal to the volume reduction caused by overpressure compression, established the quantitative model for pressurization of total crude oil cracking. Moreover, equaled to the mass of residual oil plus the quality of cracked gas and pyrobitumen, put forward the quantitative model for pressurization of partial crude oil cracking and proposed these two model combined with some parameters, which included density and compressibility of oil, gas ,water and pyrobitumen and conversion rate of crude oil cracking and so on. Then, using these two models, calculated the intensity of pressurization of Shunnan gas reservoir. At last, the accuracy of the model was tested by restored paleo-pressure values.</p><p>The study shows that the southwest of Shunnan slope is a typical overpressure area. The formation pressure coefficients of Yijianfang formation and Yingshan formation are between 1.15 and 1.48, and those of Penglaiba formation are as high as 1.94. Based on the homogenization temperature of the inclusions and combined with burial history and thermal history, the paleo-pressure in Shunnan is restored through fluid inclusion method. There were two periods of overpressure in Cisuralian (292-280ma) and Neogene (21-2ma). The paleo-pressure coefficient of Neogene is 1.57-1.64, which is generally higher than that of Cisuralian(1.39～1.48). The main mechanism of overpressure in Shunnan area is the cracking of crude oil and the author tried to establish the quantitative characterization of crude oil cracking. The overpressure of crude oil cracking during Neogene reaches around 30 MPa, of which the contributions is respectively 66.7 %.</p>

scholarly journals A gradient perspective on modeling interdialectal transitions

2018 ◽  
Vol 6 (2) ◽  
pp. 78-99 ◽  
Author(s):  
Péter Jeszenszky ◽  
Philipp Stoeckle ◽  
Elvira Glaser ◽  
Robert Weibel
Keyword(s):  
Transition Zone ◽  
Logistic Models ◽  
Quantitative Characterization ◽  
Swiss German ◽  
Single Transition ◽  
Areal Linguistics ◽  
Definition Of ◽  
Logistic Functions

Finding the boundaries of linguistic variants and studying transitions between variants are key interests in classical linguistic geography. However, the definition of boundaries in areal linguistics is vague, and a quantitative characterization of transitions at the interface between dialectal variants is missing. We conceptualize these transitions as gradients, aiming to quantitatively account for the transition patterns which are traditionally only implicitly inferred from visualizations. Fitting of logistic functions in different spatial scopes (profiles as well as surfaces) is proposed as an approach to model the transition at the interface between the dominant usage areas of dialectal variants. Logistic functions can accommodate the breadth of boundary concepts, ranging from sharp isoglosses to transitions with different gradualities. The parameters of the fitted logistic models as well as supplementary measures then allow for the quantitative characterization and comparison of transitions across variables. To demonstrate the proposed methodology, we use Swiss German syntactic data on dialectal variables with a single transition zone.

scholarly journals Discussion: Quantitative characterization of the transition zone in high strength concretes

1989 ◽  
Vol 2 (6) ◽  
pp. 79-81 ◽  
Author(s):  
K. L. Scrivener ◽  
A. Bentur ◽  
P. L. Pratt ◽  
E. M. Gartner
Keyword(s):  
Transition Zone ◽  
High Strength ◽  
Quantitative Characterization

scholarly journals The Effects of Microglia on Tauopathy Progression Can Be Quantified Using Nexopathy in Silico (Nexis) Models

2021 ◽  
Author(s):  
Chaitali Anand ◽  
Pedro Maia ◽  
Justin Torok ◽  
Christopher Mezias ◽  
Ashish Raj
Keyword(s):  
Neurodegenerative Disorders ◽  
In Silico ◽  
Predictive Power ◽  
Accumulation Rate ◽  
Quantitative Model ◽  
Quantitative Characterization ◽  
Whole Brain ◽  
Progressive Neurodegeneration ◽  
Seed Area

Abstract The prion-like transsynaptic propagation of misfolded tau along the brain’s connectome has previously been modeled using connectome-based network diffusion models. In addition to the connectome, interactions between the general neurological ‘milieu’ in the neurodegenerative brain and proteinopathic species can also contribute to pathology propagation. Such a molecular nexopathy framework posits that the distinct characteristics of neurodegenerative disorders stem from interactions between the network and surrounding molecular players. However, the effects of these modulators remain unquantified. Here, we present Nexopathy in silico (‘Nexis’), a quantitative model of tau progression augmenting earlier models by including parameters of pathology propagation defined by the molecular modulators of connectome-based spread. Our Nexis:microglia model provides the first quantitative characterization of this effect on the whole brain by expanding previous models of neuropathology progression by incorporating microglial influence. We show that Trem2, but not microglial homeostasis genes, significantly improved the model’s predictive power. Trem2 appears to reduce tau accumulation rate while increasing its interregional spread from the hippocampal seed area, causing higher tau burden in the striatum, pallidum, and contralateral hippocampus. Nexis thus provides an improved understanding and quantification of microglial contribution to tau propagation and can be flexibly modified to include other modulators of progressive neurodegeneration.

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