Efficient screening of enhanced oil recovery methods and predictive economic analysis

Oil demand for economic development around the world is rapidly increasing. Moreover, oil production rates are getting a peak in mature reservoirs and tending to decline in the near future, which has led to considerable researches on enhanced oil recovery (EOR) methods. Therefore, an efficient technical and economical screening to appropriate selection of EOR methods can make savings in time and cost. The purpose of this communication is to present a method to select an efficient EOR process and investigate its economic parameters. A database of reservoir parameters of rock and fluid properties along with successful EOR techniques has been collected and analyzed. First, an artificial neural network (ANN) was developed to classify the EOR methods technically. Then, an economical EOR screening model was designed, and then, future cash flows on the use of EOR methods were predicted. The results show that the ANN system can select proper EOR methods and classify them. Moreover, the obtained results indicate that the economic analysis performed in this study is efficient and useful to predict future cash flows.     

软件开发应遵循"软件导向"

为了清楚地知道这些需求,作为软件开发人员,你经常要和客户、项目经理以及项目伙伴交流。因此,软件开发应遵循“软件导向”。本文从分析中遵循“软件导向”;设计中遵循“软件导向”;编码中遵循“软件导向”;测试中遵循“软件导向”;维护中遵循“软件导向”等方面就软件开发如何遵循“软件导向”提出自己的看法和建议,具有一定的参考价值。     

One-Step Synthesis of Nanocrytalline Perovskite LaMnO3 Powders via Microwave-Induced Solution Combustion Route

Perovskite LaMnO3andrelated materials aretech-nologically i mportant for many possible applicationsdue totheir unique electrical ,magnetic ,and catalyticproperties . Of particular interest are these materialsfor their catalytic oxidation and reductionreactions as-sociated with the regulation of waste gas emissionsfrom vehicles .In addition , much attention has beenpaid to the wide investigations of giant magnetoresis-tance (GMR) and possible use as the electrode mate-rialsfor solid oxide fue…     

Graphene Oxide Nanosheets Retard Cellular Migration via Disruption of Actin Cytoskeleton

Graphene and graphene‐based nanomaterials are broadly used for various biomedical applications due to their unique physiochemical properties. However, how graphene‐based nanomaterials interact with biological systems has not been thoroughly studied. This study shows that graphene oxide (GO) nanosheets retard A549 lung carcinoma cell migration through nanosheet‐mediated disruption of intracellular actin filaments. After GO nanosheets treatment, A549 cells display slower migration and the structure of the intracellular actin filaments is dramatically changed. It is found that GO nanosheets are capable of absorbing large amount of actin and changing the secondary structures of actin monomers. Large‐scale all‐atom molecular dynamics simulations further reveal the interactions between GO nanosheets and actin filaments at molecular details. GO nanosheets can insert into the interstrand gap of actin tetramer (helical repeating unit of actin filament) and cause the separation of the tetramer which eventually leads to the disruption of actin filaments. These findings offer a novel mechanism of GO nanosheet induced biophysical responses and provide more insights into their potential for biomedical applications.     

N-〔3-单(双)氧乙烯长链烷氧-2-羟〕丙基-N,N,N-三甲基氯化铵的合成及其性质

本文首先在相转移催化条件下合成聚氧乙烯脂肪醇缩水甘油醚,以此为原料和三甲胺盐酸盐反应得到Ｎ－〔３－单（双）氧乙烯长链烷氧－２－羟〕丙基－Ｎ,Ｎ,Ｎ－三甲基氯化铵,通过元素分析,红外光谱和核磁共振氢谱对其结构进行了鉴定,并测定了产物的临界胶束浓度（ＣＭＣ）。     

Novel dynamic load balancing algorithm for cloud-based big data analytics

Big data analytics in cloud environments introduces challenges such as real-time load balancing besides security, privacy, and energy efficiency. This paper proposes a novel load balancing algorithm in cloud environments that performs resource allocation and task scheduling efficiently. The proposed load balancer reduces the execution response time in big data applications performed on clouds. Scheduling, in general, is an NP-hard problem. Our proposed algorithm provides solutions to reduce the search area that leads to reduced complexity of the load balancing. We recommend two mathematical optimization models to perform dynamic resource allocation to virtual machines and task scheduling. The provided solution is based on the hill-climbing algorithm to minimize response time. We evaluate the performance of proposed algorithms in terms of response time, turnaround time, throughput metrics, and request distribution with some of the existing algorithms that show significant improvements.

     

A dynamic data dissemination mechanism for Cassandra NoSQL data store

The Journal of Supercomputing - Cassandra as a type of NoSQL databases has been put forward so as to surmount the hurdles of traditional relational databases in the scope of big data as well as...     

A Comprehensive Review on Food Applications of Terahertz Spectroscopy and Imaging

Food product safety is a public health concern. Most of the food safety analytical and detection methods are expensive, labor intensive, and time consuming. A safe, rapid, reliable, and nondestructive detection method is needed to assure consumers that food products are safe to consume. Terahertz (THz) radiation, which has properties of both microwave and infrared, can penetrate and interact with many commonly used materials. Owing to the technological developments in sources and detectors, THz spectroscopic imaging has transitioned from a laboratory‐scale technique into a versatile imaging tool with many practical applications. In recent years, THz imaging has been shown to have great potential as an emerging nondestructive tool for food inspection. THz spectroscopy provides qualitative and quantitative information about food samples. The main applications of THz in food industries include detection of moisture, foreign bodies, inspection, and quality control. Other applications of THz technology in the food industry include detection of harmful compounds, antibiotics, and microorganisms. THz spectroscopy is a great tool for characterization of carbohydrates, amino acids, fatty acids, and vitamins. Despite its potential applications, THz technology has some limitations, such as limited penetration, scattering effect, limited sensitivity, and low limit of detection. THz technology is still expensive, and there is no available THz database library for food compounds. The scanning speed needs to be improved in the future generations of THz systems. Although many technological aspects need to be improved, THz technology has already been established in the food industry as a powerful tool with great detection and quantification ability. This paper reviews various applications of THz spectroscopy and imaging in the food industry.     

Liquid Mixing in Thick-Slag-Covered Metallurgical Baths—Blending of Bath

Liquid mixing in bottom-blown, gas-stirred reactors has a significant impact on process efficiency and product quality. Cold physical models were used to simulate liquid bath mixing behavior covered with a thick slag layer. The dependence of blending time on specific energy input rate, slag height, and physical properties of metal and slag was studied. A new parameter, called the “effective bath height,” is defined as a function of the slag and metal thicknesses and their relative densities to develop a unified correlation for blending time of slag-covered baths and baths without slags. Furthermore, energy dissipation associated with an increase in interfacial area was evaluated.     

一种多目标跟踪起始和数据关联的快速算法

包含有新目标跟踪起始的数据关联问题是多目标跟踪算法研究中的一个难点。本文首先描述了红外搜索跟踪（ＩＲＳＴ）系统进行多目标跟踪中的跟踪起始和跟踪终结问题;然后提出了采用可变跟踪门的方法,并且将ＩＲＳＴ系统接收到的目标红外辐射作为一个参考量。给出了多目标跟踪起始和数据关联的快速算法。最后给出了数值仿真结果,仿真表明了这种算法的快速性和有效性。