Experimental Study on the Relationship Between Reservoir Permeability and Its Formation Resistivity Factor

2014 ◽  
Vol 57 (4) ◽  
pp. 563-573
Author(s):  
LIU Zhong-Hua ◽  
WU Shu-Qin ◽  
DU Bao-Hui ◽  
LI Chao-Liu ◽  
HU Song ◽  
...  
2018 ◽  
Author(s):  
David Barner ◽  
Alan Bale

We review advances in the experimental study of the mass-count distinction and highlight problems that have emerged. First, we lay out what we see to be the scientific enterprise of studying the syntax and semantics of mass-count distinction, and the assumptions we believe must be made if additional progress is to occur, especially as the empirical facts continue to grow in number and complexity. Second, we discuss the new landscape of cross-linguistic results that has been created by widespread use of the quantity judgment task, and what these results tell us about the nature of the mass-count distinction. Finally, we discuss the relationship between the mass-count distinction and non-linguistic cognition, and in particular the object-substance distinction.


2020 ◽  
Vol 32 (2) ◽  
pp. 91-101
Author(s):  
Steven E. Kaplan ◽  
Danny Lanier ◽  
Kelly R. Pope ◽  
Janet A. Samuels

ABSTRACT Whistleblowing reports, if properly investigated, facilitate the early detection of fraud. Although critical, investigation-related decisions represent a relatively underexplored component of the whistleblowing process. Investigators are responsible for initially deciding whether to follow-up on reports alleging fraud. We report the results of an experimental study examining the follow-up intentions of highly experienced healthcare investigators. Participants, in the role of an insurance investigator, are asked to review a whistleblowing report alleging billing fraud occurring at a medical provider. Thus, participants are serving as external investigators. In a between-participant design, we manipulate the report type and whether the caller previously confronted the wrongdoer. We find that compared to an anonymous report, a non-anonymous report is perceived as more credible and follow-up intentions stronger. We also find that perceived credibility fully mediates the relationship between report type and follow-up intentions. Previous confrontation is not significantly associated with either perceived credibility or follow-up intentions. Data Availability: Data are available upon request.


2015 ◽  
Vol 645-646 ◽  
pp. 405-410 ◽  
Author(s):  
Chang Song ◽  
Li Qun Du ◽  
Tong Yang ◽  
Lei Luo ◽  
You Sheng Tao ◽  
...  

In the micro electroforming process, the existence of electroforming layer defects caused by macro internal stress seriously limits the application and development of the micro electroforming technology. Currently, some studies have shown that ultrasonic can reduce the internal stress. But the formation process of the internal stress and the mechanism of ultrasonic stress relief in micro electroforming layer are still unclear now. In this paper, the relationship between dislocation density and internal stress under ultrasonic was studied. The results show that the ultrasonic can make the dislocation density increase and the compressive stress decrease. When the ultrasonic power is 200W, the dislocation density and the compressive stress culminate 3.8×10-15m-2 and-144.4MPa, respectively. The ultrasonic can excite the movement of dislocation proliferation, pile-up and opening, which leads to a micro plastic deformation in the crystal, and thereby releases the internal stress.


Author(s):  
G. Efendiyev ◽  
M. Karazhanova ◽  
D. Akhmetov ◽  
I. Piriverdiyev

The article discusses the results of the use of cluster analysis in assessing the degree of oil recovery complexity and its impact on the performance indicator. For this purpose, clustering was performed using a fuzzy cluster analysis algorithm. It should be noted that along with the deposits of heavy and highly viscous oils, a large share of hard-to-recover reserves is also confined to conditions with very low reservoir permeability values. Data on viscosity, oil density and oil permeability of in-situ conditions from various fields of Kazakhstan are collected. Using the results of this classification, a statistical analysis of indicators of various types of hard-torecover oils was performed. In the process of analysis, a generalized characteristic was determined for each class of oil, including viscosity, oil density and reservoir permeability. The generic characteristic is a linear transformation of the three characteristics. The results were subjected to statistical processing. At the same time, an attempt was made to establish and analyze the relationship between the degree of recovery complexity of hard-to-recover oils and oil recovery coefficient. In the course of the analysis, the average values of the oil recovery coefficient and the index of the degree of recovery complexity of hard-to-recover oil within each cluster were calculated and the relationship between them was plotted. The observed dependence, built on averaged points, is close to a power law, and, as one would expect, with an increase in the degree of oil recovery complexity, the oil recovery coefficient falls. The obtained estimates of the degree of oil recovery complexity allow us to rank different types of oils by their viscosity, density and reservoir permeability, which can be used to compare types of hard-to-recover oils by the value of the quality indicator. Methods to solve the problem of hard-to-remove high-viscosity and heavy oils should be aimed at reducing the viscosity of oil in the reservoir: injection of hot water / steam into the reservoir, the use of electric heaters, etc. Purpose. Assessment of the degree of oil recovery complexity and its impact on the efficiency of field development. The technique. The solution of the tasks set in the work was carried out on the method of mathematical statistics and the theory of fuzzy sets. In this case, the methods of processing the results, the correlation analysis, and the algorithm of fuzzy cluster analysis were used. Results. As a result of studies, 4 classes were obtained, each of which characterizes the degree of oil recovery complexity, a parameter was proposed for quantifying the degree of complexity, including oil density and viscosity, reservoir permeability, a relationship between this parameter and oil recovery coefficient was obtained. Scientific novelty. A classification of hard-to-recover reserves based on a fuzzy cluster analysis has been performed, and a parameter has been proposed for quantifying the degree of oil recovery complexity, a relationship has been obtained that allows judging the oil recovery by the degree of oil recovery complexity. Practical significance. The results obtained make it possible to classify hard-to-recover reserves and make decisions on the choice of methods for influencing the reservoir in various geological conditions.


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