bluuebunny/crossref_metadata_2025_split huggingface dataset:
Trilateral South American project: a reference system for measuring electric power up to 100 kHz – progress report III
Authors: Kyriazis G A , Di Lillo L , Slomovitz D , Iuzzolino R , Yasuda E , Trigo L , de Souza R M , Laiz H , Afonso E 
Published: May 2021

Abstract
Three countries in South America are jointly developing a reference system for measuring electric power up to 100 kHz. The objective is the construction of three similar measuring systems, one for each institute. This project will contribute to provide calibration services in measuring ranges still not covered by the three institutes both in ac-dc transfer and in electric power. The status of its development by the end of 2019 is described here.
Custom made polymeric artificial eye: Appearance and characteristics of wear and care
Authors: Naji A M , Yaseen M M W , Majali A J , Nief O A 
Published: May 2021

AbstractA prosthetic eye may enhance the appearance of individuals who have lost sight due to injury or illness. Implanting a polymeric ocular prosthesis (POP) after an eye is surgically removed following an enucleation, evisceration, or orbital exenteration is always advised. This implant supports proper eyelid functioning as well as increasing patient confidence by restoring natural appearance. From February 2013 to January 2019, an experimental study was done on five hundred cases. The included patients experienced enucleation or evisceration procedure and had ocular prosthesis fitting. Data were entered, coded, cleaned, and analyzed using IBM SPSS statistics. A total of 500 cases completed the questionnaire. Of these, 55.8% were male, and 44.2% were female, with 50.2% of the patients lost their eyes because of injuries. In terms of operation variety, evisceration was done in 61.4% of the patients, enucleation in 37.6%, and others are in only five congenital cases (1%). According to this study, 28.8% of patients suffered from deposits formed on the prosthetic eye, while the absence of deposits was 71.2%. Significant psychological, as well as social consequences can result from the disfigurement associated with eye loss. Despite using the available materials and techniques to treat such patients, one needs to be a little creative and very inventive. Ocular prostheses act as a tool for restoring patients’ self-confidence and facilitating changes in their social convenience. Precise attention is essential to preserve the prosthesis and reminiscent of tissue health.
Theoretical study for cellulose and its derivatives toward enalapril into electronic properties by density functional theory
Authors: Merza M M , Al-Ani R R , Hussein F M 
Published: May 2021

AbstractCurrent research describes electronic properties for cellulose(CE) and its derivatives (Carboxyl methyl cellulose (CMC), Hydroxy propyl cellulose(HPC), Maliec anhydride cellulose(MAC)) and Enalapril is one of the drugs taking this medicine for high blood pressure. In this research an investigation of an Enalapril drug with cellulose and derivatives by the DFT/B3LYP method, Hartree-Fock (HF) method with basis set (STO-3G,6-31G++(d,p)using) for phallic index and other parameters. The results dealing of Enalapril drug with carries including optimized geometrical structure, activation energy, heat of cracking (ΔHc), dipole moment. The NLO properties and biological activity by depended on chemical parameter studied that including (HOMO-LOMO) from the theoretical results for prodrugs that can use as several carries.
Design & Development of Integrated Information Management System for Drilling Operations Abroad
Authors: Wang Liupeng , Chang Du , Peng Yuanchao , Dang Wenqing 
Published: May 2021

Abstract
Due to the limitation of cooperation contract period, logistics supply and regional conditions, the number of drilling rigs and drilling operation procedures need to be arranged scientifically and reasonably for drilling operations abroad. According to the characteristics of this foreign drilling operation, we design and develop an Integrated Information Management System (IIMS) including intelligent planning and integrated management system including well site data management, office work planning and cost control, operation management, statistical query and logistics support.
Research on Three Dimensional Global Path Planning of Unmanned Underwater Vehicle
Authors: Hu Zhiyuan , Wang Zheng , Yin Yang 
Published: May 2021

Abstract
The ant colony algorithm is used to solve the global path planning problem of unmanned underwater vehicle (UUV) in three-dimensional environment. On the basis of grid model environment, the traditional ant colony algorithm is optimized. In order to meet the needs of path planning, an improved algorithm is proposed to solve the problem of initial pheromone distribution. Simulation results show that the improved ant colony algorithm has the characteristics of fast convergence.
Comparison Study of Leading Rotary Steerable System and Future Development Trend
Authors: Fei Li , Xue-ying Ma , Yu-qi Tan 
Published: May 2021

Abstract
The rotary steerable system is critical drilling equipment urgently needed in the development of unconventional oil and gas fields in China. It is still a significant but unavailable technology for China’s petroleum industry. With the high demand for rotary steerable system in unconventional oil and gas development, this paper studies RSS tools from major oilfield service companies. Different tools from major oilfield service companies and their technical specifications were studied. Firstly, the development history of the rotary steerable system is introduced, and the tools are then classified into different categories based on control and biasing methodologies. The key technical parameters of the RSS were compared and analyzed. Moreover, a detailed comparison of the 475, 675 and 900 series of tools has been carried out. The current development focuses of rotary steerable tools include high dogleg severity, high temperature and high pressure and integrated navigation scheme with inertial and magnetic methods. Finally, the development trends of the RSS were forecasted. The objective of this paper is to provide an overview and latest development of the rotary steerable system for developer, operation and maintenance population in the drilling industry.
Application of the Indoor Large-length Standard Device
Authors: Hu Chang’an , Lv Fei , Luo Shutong , Yang Zhuang , Zhang Rui , Li Wanze 
Published: May 2021

Abstract
The indoor large-length standard device is a comprehensive standard for traceability of large-length measurement value. It provides that the standard ensures its accuracy and reliability in the effective detection range. In order to ensure the accuracy of the quantity traceability of the large-length measuring instrument, we independently developed the domestic first set of metal linear guide indoor large-length standard device in the southwest. The high-precision metal linear guide cooperating with precision gear rack transmission is used in this device. The main drive system with an independent position closed-loop control is employed to eliminate effectively the influence of a series of problems, including the unstable floating track deformation and loss of friction wheels, difficult maintenance. The device can also hold an accurate and reliable statue throughout the execution, which can also maintain stable acceleration and velocity and has the advantages of no vibration transmission system, automatic operation. The measuring range of the device is (0∼56) m, and the uncertainty of measurement is U=0.14um+10−7L (k=2). Its function is mainly used to carry out the distance meter, laser interferometer, laser tracker, standard steel tape equipment, and terrestrial laser scanner; also the device can also be used for linear displacement sensors, liquid level measuring devices, standard baseline feet, and other non-standard class length equipment calibration.
Autonomous Obstacle Avoidance Scheme Using Monocular Vision Applied to Mobile Robots
Authors: Song Yun Yun , Yang Sheng Yi , Liu Chao , Wu Qing Gui 
Published: May 2021

Abstract
Mobile robots cannot move in an unknown environment with static or slow-moving obstacles effectively. We present an enhanced obstacle avoidance strategy using monocular vision to solve this problem. First, we combine Canny and Otsu to extract the barrier feature and find the critical pixel position of obstacles by the monocular vision. Then the image depth estimation algorithm is used to estimate the gaps. With these parameters of barriers, an improved bug algorithm is proposed to avoid the obstacles autonomously. The experiments show that the proposed obstacles avoidance strategy can effectively make a small mobile robot avoid different kinds of obstacles.
Intelligent coalbed methane production management and control technology based on reinforcement learning algorithm
Authors: Hongli Wang , Suian Zhang , Bin Liu 
Published: May 2021

Abstract
The production control of coalbed methane wells has long been viewed as the most challenging step in its development process. For human engineers, they rely too much on previous experience. For artificial intelligence, there is no complete frame to use. Here we proposed a system with reinforcement learning algorithm to CBM production control optimization that used a proxy model to simulate the gas and water seepage in coal seam, and a ‘value networks’ to evaluate gas and water production capability and three control policy mode: bottomhole pressure (BHP) regression model, BHP reduction rate mode, BHP table to select moves. The system achieved a 20.99% and 38.14% increment in cumulative gas and water production, respectively.
Sliding Mode Variable Structure Control of the Steerable Drilling Stabilized Platform Based on Disturbance Observer
Authors: Huo Aiqing , Zhang Shuhan , Wu Shilei 
Published: May 2021

Abstract
A sliding mode variable structure control based on disturbance observer (SMVSCDOB) has proposed to tackle the uncertainty caused by friction in the stabilized platform on the rotary steerable drilling. Disturbance observer (DOB) is used to estimate the uncertainty in stabilized platform, and the estimated value is compensated by sliding mode variable structure control (SMVSC) to improve the control accuracy. The simulation experiment of control system is carried out with MATLAB, comparing the SMVSCDOB control method with proportional integral derivative (PID), PID+DOB, SMVSC. The simulation results show that the proposed method SMVSCDOB can better track the tool face angle, reduce the system error, suppress the friction interference, and enhance robustness of the system.
Active disturbance rejection control of indoor inspection robot in intelligent substation based on monocular vision
Authors: Chen Dekai 
Published: May 2021

Abstract
In order to improve the autonomous digging ability of the inspection robot, an auto disturbance rejection control method based on monocular vision is designed for the indoor inspection robot in the intelligent substation. Through tracking and detecting the end position and posture changes of the robot in the x-z plane during the operation of the robot in the intelligent substation, and mining the abnormal data, and combining with the PID control principle, the inspection robot single view automatic disturbance rejection control method is designed The visual interference information is cleaned and denoised to realize the auto disturbance rejection and autonomy of the indoor inspection robot monocular vision pan-tilt. Due to the adjustment of the operating parameters of the pan-tilt active disturbance rejection controller based on monocular vision of the indoor inspection robot, it is difficult to set the parameters due to the interaction between the parameters. Furthermore, the parameters of the ADRC are adjusted and optimized to meet the research requirements of the effective control of the pan-tilt active disturbance rejection of the indoor inspection robot in the substation. Finally, the experimental results show that compared with the traditional methods, the control accuracy and strong robustness of the indoor inspection robot in the substation are significantly improved, which fully meets the research requirements.
Design and Implementation of Drilling Engineering Simulation System Based on Unity3D
Authors: Huo Aiqing , Xu Jingrong , Li Haoping , Wang Zewen 
Published: May 2021

Abstract
In this paper, a drilling engineering simulation system is designed and developed aiming at some problems existing in traditional well control safety operation training. The overall design and process of the virtual simulation system were given, optimized and rendered the models of the drilling engineering equipment and the wellsite scene were created using the software 3Ds Max. With the aid of the Unity3D development platform, the oil drilling virtual simulation system was constructed, which realized the interaction between the wellsite roaming system and drilling operations. The system has the characteristics of low development cost, strong real-time interaction, realistic immersion and meets the needs of oilfield drilling engineering training.
Fault diagnosis of fracturing truck based on ITD and TET
Authors: Zhong Xinrong , Chai long , Che Haoyang , Zhao ZhiChuan 
Published: May 2021

Abstract
The power system is the core part of fracturing truck, and its running state will directly determine the operation efficiency of fracturing truck. Fracturing trucks often operate under heavy load and noisy conditions, so the power system is prone to faults and difficult to diagnose. In order to solve the difficult problem of fracturing vehicle power system diagnosis under noise and changing working conditions, one method based on intrinsic time-scale decomposition (ITD) and transient-extracting transform (TET) is proposed. Firstly, using the intrinsic time-scale decomposition to dealing the collected vibration signal of the fracturing vehicle power system, multiple related components have been obtained, and then perform transient-extracting transform to processing the components with larger correlations to the original signal. The local features of the signal are enhanced and the fault features are extracted to complete the fault diagnosis. The test results showing that the proposed fault diagnosis method can accurately identify the fault condition of the power system. the conclusions obtained can provide a certain reference for the research and development of the power system fault diagnosis method of fracturing truck.
Intelligent Human Body Posture Recognition and Its Comparative Study
Authors: Wang Zheng , Zhang Long-fei , Feng Xiao-xing , Liu Meng-xi 
Published: May 2021

Abstract
An algorithm of activity pattern recognition based on fuzzy mathematics used the excellent characteristics and the classification ability of multiple classifier for human pasture identification is analyzed and compared. Time-domain analysis is used as the only method through large amounts of data, and corresponding BP neural network and Support vector machine (SVM) was established were compared with the algorithm of fuzzy mathematics, and some method were evaluated at last. The results showed that the algorithm based on fuzzy mathematics had a good performance and value.
Study on determining the dominant flow path of oil reservoir by static data
Authors: Wenjie Zhao 
Published: May 2021

Abstract
Block A is a 2016-2017 production block. After infilling, block 1,2 and 3 are divided into three segments, block 4 is divided into two segments, block 4 is divided into two segments, and block 4 is not divided into segments, that is, Gaotaizi first segment. With the increase of well pattern density and the increase of vertical upper strata, the whole injection-production relationship becomes more complex and the dynamic adjustment is more difficult. By integrating the static data, we can determine the dominant wells and the dominant zones among the well groups, and find out the dominant channel of each zone by comparing the seepage capacity in each direction of the water coming from the sub-zone. To further subdivide the connecting types, and finally determine the dominant channel of each sedimentary unit by combining the reservoir thickness, well spacing and source direction. For the case of multiple well patterns interacting with each other, aiming at the sections of the dominant wells and formations which are in the front of the sequence and are easy to be overinjected. For the interval in the middle of the sequence of dominant wells and formations, the water injection volume fluctuates frequently and needs to be checked and matched. For the interval in which the sequence of dominant wells and formations is backward, the measures of increasing injection are adopted. It has important guiding significance for efficient development of Gaotaizi reservoir in the later stage of ultra-high water cut.
Application of High Resistance Operational Amplifier CA3140A in Signal Conditioning Circuit of Gamma Logging Tool
Authors: Tian Xiaochao 
Published: May 2021

Abstract
The current type signal of gamma detector in gamma logging tool is generally weak, which can not be directly input into microcontroller for pulse counting and statistical analysis. The signal conditioning circuit is designed by using high performance, low noise, small volume single operational amplifier CA3140A, which processes the weak signal from gamma detector, and realizes the corresponding hardware circuit according to the actual application requirements. The experimental results show that: the circuit design performance is stable, and can effectively pick up and process the effective pulse signal, which meets the expected design requirements.
The Establishment of a Drilling Rate of Penetration Prediction Model Based on GA-BP
Authors: Qi Li , Wei Zhang , Cong Xie 
Published: May 2021

Abstract
The prediction of ROP is the key to optimization and control of drilling engineering. The lack of application of actual engineering data in existing theoretical models makes it difficult to meet field requirements. This paper establishes a new model for predicting ROP, which combines artificial intelligence algorithms and neural networks. First, the wavelet filtering method is used to reduce the noise of the measured data the measured data at the drilling site, and the input parameters of the ROP prediction model are optimized according to the mutual information correlation analysis to reduce the model redundancy. Secondly, the genetic algorithm (Genetic Algorithm) is used to optimize the initial weights and thresholds of the BP neural network, thereby establishing a new ROP prediction model. The final results show that GA-BP has stronger convergence and search ability and better calculation accuracy.
Field Test of Vibration Wave Attenuation Coefficient Model in Casing Medium
Authors: Zhang Xiaobin , Yang Quanzhi , Xu Feiyan , Li Wenhong , Li Weifeng , Hou Yunyi 
Published: May 2021

Abstract
The casing string is a very good down-hole signal transmission channel due to its rigidity which means it can reduce attenuation in vibration wave propagation. Based on elastic mechanics theory, we obtain the wave equations of vibration propagating in the free casing, analyze the transmitting law of the vibration wave in the well fluid-casing-cement system and found that the attenuation of the vibration wave is mainly caused by the energy absorbed including the well fluid, the casing and the cement ring. Based on the attenuation factors which affect the wave propagation, we get the vibration wave attenuation coefficient model and calculate the relative attenuation coefficients in different casing strings. By detecting and analyzing the drilling plug signal in the second spud, the field test results prove the feasibility of long-distance transmission and the low attenuation of vibration wave in the casing string, and get the attenuation coefficient of casing size 9 5/8, which is similar to the simulation result.
Real-time monitoring and early warning of well leakage based on big data analysis
Authors: Yingzhuo Xu , Liupeng Wang , Yang Zhang , MingZhen Li 
Published: May 2021

Abstract
In petroleum drilling engineering operations, complex lost circulation accidents not only affect the efficiency of drilling operations, but serious lost circulation may cause wellbore failure. The occurrence of lost circulation accidents is affected by various factors such as formation conditions, engineering parameters, and operating dynamic parameters. The conventional focus of lost circulation research is to analyze the mechanism of lost circulation, but the data such as engineering parameters and operating dynamic parameters when lost circulation occurs are insufficiently utilized. At present, the field of drilling engineering has accumulated a large amount of historical drilling data, and the complicated occurrence of lost circulation accidents often has regional statistics. How to use big data technology to establish the correlation model between lost circulation and parameters, reason and analyze the main influencing factors of lost circulation, then use the established correlation model comparative analysis. After the data model comparative analysis, it can make different specifications of responses and early warnings for data anomalies with different weights, so as to reduce the impact on drilling operations while avoiding lost circulation accidents.
DOA Estimation Based on Average Processing of Redundant Virtual Array Elements for Coprime MIMO Radar
Authors: Zhang Yule , Hu Guoping , Zhu Mingming , Zhan Chenghong , Zhao Feilong , Zhou Hao , Zhao Fangzheng , Yue Shijie 
Published: May 2021

Abstract
The redundant virtual array elements formed by the sum and difference coarray (SDCA) are always discarded in the existing DOA estimation methods, which could cause effective information loss and poor performance. In this paper, a new technology based on average processing of redundant virtual array elements is proposed for coprime MIMO radar direction of arrival (DOA) estimation. Then, Toeplitz matrix reconstruction based on MUSIC algorithm is employed to validate the effectiveness of the proposed technology for DOA estimation.
The Mathematic Model Study of Optimum Align Method in Compass
Authors: Weifeng Li , Xiaolong Yu , Yan Wang 
Published: May 2021

Abstract
In this paper, based on the study of the characteristics of horizontal well designed by optimum align method in compass software, we speculated that, the optimum align method is one kind of space circular arc method. Therefore, we built a horizontal well track design model based on spatial arc curve optimization alignment hypothesis. The orbit design problem of horizontal wells is transformed into the problem solving of multiple linear equations with trigonometric functions. If the kick off point, the target point and the dog leg degree of the first and second inclined sections are determined, the solution of the track parameters of the horizontal well is unique, and the track parameters of the horizontal well can be calculated accurately. The model result is the same as the optimum align method in compass program. Therefore, the algorithm essence of Compass Optimum Align design method is to solve the problem of multiple linear equations based on the optimal alignment of arc curves in space.