Monitoring Dynamic Water Injection to Improve Oil Recovery Efficiency

Dynamic water, also known as smart water, injected at the end of conventional water flood by seawater, is known to show significant improvement in recovering additional oil. Different mechanisms have been proposed and lab measurements were conducted to understand the underlying process of additional oil recovery through dynamic water injection in lab conditions. In this work, we study the effects of different dynamic water injection scenarios on oil recovery in carbonate reservoirs based on reservoir simulations using representative fluid and rock properties with relative permeability curves obtained from core studies. To quantify the changes in measurable multiphysics properties due to dynamic water injection and reconcile multiphysics interpretation with additional oil recovery at field scale, a petrophysically consistent multiphysics effective property modeling is conducted. Based on the simulation results, dynamic water injection is shown to be effective in additional oil recovery at field scale post seawater injection. In addition, saturation changes caused by dynamic water injection result in detectable time-lapse contrast in the corresponding conductivity profiles, suggesting feasibility of the resistivity measurements to monitor dynamic water injection. This paper shows the advantages and benefits of petrophysically consistent multiphysics effective property modeling for a successful fluid monitoring design for quantifying the efficiency of dynamic water injection on additional oil recovery post seawater flood.

MRlogP: Transfer Learning Enables Accurate logP Prediction Using Small Experimental Training Datasets

Small molecule lipophilicity is often included in generalized rules for medicinal chemistry. These rules aim to reduce time, effort, costs, and attrition rates in drug discovery, allowing the rejection or prioritization of compounds without the need for synthesis and testing. The availability of high quality, abundant training data for machine learning methods can be a major limiting factor in building effective property predictors. We utilize transfer learning techniques to get around this problem, first learning on a large amount of low accuracy predicted logP values before finally tuning our model using a small, accurate dataset of 244 druglike compounds to create MRlogP, a neural network-based predictor of logP capable of outperforming state of the art freely available logP prediction methods for druglike small molecules. MRlogP achieves an average root mean squared error of 0.988 and 0.715 against druglike molecules from Reaxys and PHYSPROP. We have made the trained neural network predictor and all associated code for descriptor generation freely available. In addition, MRlogP may be used online via a web interface.

How Does a Reduction in Mandated Medicaid Spending Affect Local Fiscal Behaviors? Evidence from New York State

In 2005, New York (NY) state capped the growth of county-level Medicaid spending, which abruptly decreased counties’ Medicaid outlay in both relative and absolute terms. This study exploits this discontinuity in county Medicaid outlay to estimate the impact of the relief mandate policy on county budgets and property tax levies. It bridges a gap in the public finance literature by addressing local government responses to a sudden decrease in the outlay of a large mandatory spending category. We find a compositional change but no income effect on non-Medicaid spending. However, the policy reduced the effective property tax rate significantly by 6.6 to 8.1 percent on average among affected NY counties after the enactment of the policy relative to control counties. This study advances our understanding of local fiscal responses to an intergovernmental fiscal policy that changes how state and local governments share the costs of a large public social insurance program.

Rail Track with Rail Compression

The problem of damping the noise on the track, arising from the movement of the train, is solved sufficiently but it is simple, if the rail with spacers is laid inside the longitudinally located band sleeper-mechanism. The result is a layered rail thread, consisting of belts: a rail tape with elastic spacers on three sides, a tie-mechanism tape and a ballast layer. The unity of the layers is carried out due to their own mass. This is the static track without external load. Rail compression is an effective property of rail tracks. It is formed in the sleeper mechanism under the influence of vertical forces with displacements and their horizontal derivatives. When loading the track, the compression is carried out repeatedly with subsequent unloading.n this case, each previous changes in the conditions in work of the track are taken into account in the subsequent cycle of loading and unloading. A rail track with a rail compression is a kind of self-adapting linear system, which is necessary with frequent changes in load and operating conditions for silent performance of a functional purpose. The specificity of this path is that the movement of the wheel creates rail vibration and noise, which are immediately damped by compression with damping. The balance between the occurrence of noise and its suppression is achieved by the ratio of the lengths of half-sleeper shoulders as a lever. The condition for the appearance of a shift of the compression forces in the direction from vertical shoulder of the half-sleepers is the unequal settlements of the horizontal shoulder of the L-shaped half-sleepers and its eccentric loading. As a result of the research, the advantages of a rail track with rail compression have been revealed, which is a guarantor of the stability of the design parameters during long-term operation of the track. The cost of a rail track with rail reduction is halved as a result of steel savings, lower labor costs and operational needs.

Assessment of the Property of a Territorial Community: Topical Problems and Ways to Solve them

Annotation. Introduction. One of the trends in the development of the modern real estate market in Ukraine is the gradual growth of the real estate owners, and, accordingly, the change of the real estate management system, in particular, in the field of municipal management. Real estate, as a strategic asset, needs to be managed at a professional level. Therefore, the mechanism of property valuation of territorial communities is perceived as one of the tools of effective property management. Purpose. The purpose of this article is to find and scientifically substantiate the priority areas for improving the effectiveness of property valuation of territorial communities, and analysis related to the mechanism of evaluation of management aspects – goals, approaches, methods and characteristics. Results. The article analyzes the essence of effective management of municipal property – focuses on management goals, the priority of which is the creation of conditions for normal activities, both for each resident and all in general, analyzes the process of determining the effectiveness of municipal management in various fields and its characteristics, methods of evaluating the effectiveness of management. The main provision that guides real estate activities is that real estate development projects should meet the needs of consumers as much as possible. The views of domestic researcher N. Smentina on approaches to assessing the effectiveness of communal property – economic and social. The article provides a detailed substantive analysis of the concept of “real estate” within the complex development and its spatio-temporal characteristics that affect its value. The importance of the characteristic “optimal use of real estate” is determined. The “optimal use of real estate” reveals the conceptual content of the process of assessing the effectiveness of property use. Conclusions. Summing up, property valuation is especially important in the context of increasing the economic benefits from the sale of communal property, but the mechanism of property valuation of territorial communities in Ukrainian legislation still does not determine some specific aspects of municipal property valuation.. Keywords: property; property management; management efficiency; territorial community.

Property Valuation in the Property Management System: Analysis of Conceptual Problems

Introduction. Today, significant property assets in the form of real estate and land are in the possession of Ukraine. To make a profit from property requires an effective management system, an important tool of which is the assessment of property value. Purpose. The main purpose of the article is to consider the obstacles to the development of property valuation as one of the tools of property management. The article also explores the peculiarities of the development of Ukrainian legislation in the field of property valuation and management, presents general recommendations for the development of the property procedure. Results. The author identifies eleven conceptual problems of use and development of property valuation in the property management system. Among the most important is the lack of detailed legislative and procedural support of the property valuation procedure, in particular – the lack of a register of state property (both functionally real estate and unfinished), insufficient regulation of land and property legislation. Insufficient guarantees of observance of the rights to possession and use of property (real estate) are considered as obstacles to the growth of the role of small and medium business, and as a negative trend in the lives of people in the temporarily occupied territory. The influence on the development of property valuation of such market characteristics as competitiveness and lack of free competition, which contribute to the determination of the final value of property such factors as monopoly and government decisions, is analyzed. Conclusions. The process of property valuation occupies a significant place in the process of effective property management, but in our country this procedure is still developing. The author emphasizes that a fair and objective assessment requires, above all, respect for constitutional rights and guarantees in the field of property. The second priority area for improvement is the formation of an integrated and complete legal framework in the areas of property management and land law, the creation of a complete register of all state-owned real estate. It is recommended to pay attention to the need to study the impact of the market on the final valuation. Keywords: property valuation; property management valuation; property valuation mechanism; small business; real estate use right.

Synchronization of Two Chaotic Stream Ciphers in Secure CDMA Communication Systems

In the basic processing of Code Division Multiple Access (CDMA) systems using chaotic code sequences, a pair of chaos generators in the transmitter and the receiver are used to generate the same sequence, in order to synchronize and retrieve the transmitted signals. In addition, a filter with a simple structure should be integrated into chaotic signals to achieve the maximum of the signal to noise ratio and mitigate the harmful effects of multipath. Another effective property of chaos signal is that a wireless multipath channel does not change the amount of contained information. Considering those issues, the present paper describes a practical system for synchronizing two chaotic generators used in a digital CDMA. Chaotic generators were used to spread the data and provide security against attack. Both receiver and transmitter were implemented using two separate Spartan 6 FPGA boards. Experimental results proved the robustness of the proposed method which could contribute towards the synchronization of chaotic signals in secure CDMA communication systems.

Mesoscale Effects of Composition and Calendering in Lithium-Ion Battery Composite Electrodes

Macrohomogeneous battery models are widely used to predict battery performance, necessarily relying on effective electrode properties, such as specific surface area, tortuosity, and electrical conductivity. While these properties are typically estimated using ideal effective medium theories, in practice they exhibit highly non-ideal behaviors arising from their complex mesostructures. In this paper, we computationally reconstruct electrodes from X-ray computed tomography of 16 nickel–manganese–cobalt-oxide electrodes, manufactured using various material recipes and calendering pressures. Due to imaging limitations, a synthetic conductive binder domain (CBD) consisting of binder and conductive carbon is added to the reconstructions using a binder bridge algorithm. Reconstructed particle surface areas are significantly smaller than standard approximations predicted, as the majority of the particle surface area is covered by CBD, affecting electrochemical reaction availability. Finite element effective property simulations are performed on 320 large electrode subdomains to analyze trends and heterogeneity across the electrodes. Significant anisotropy of up to 27% in tortuosity and 47% in effective conductivity is observed. Electrical conductivity increases up to 7.5× with particle lithiation. We compare the results to traditional Bruggeman approximations and offer improved alternatives for use in cell-scale modeling, with Bruggeman exponents ranging from 1.62 to 1.72 rather than the theoretical value of 1.5. We also conclude that the CBD phase alone, rather than the entire solid phase, should be used to estimate effective electronic conductivity. This study provides insight into mesoscale transport phenomena and results in improved effective property approximations founded on realistic, image-based morphologies.