Elementary Fermions: Strings, Planck Constant, Preons and Hypergluons

Using real fields instead of complex ones, it is suggested here that the fermions are pairs of coupled strings with an internal tension. The interaction between the two coupled strings is due to an exchange mechanism which is proportional to Planck’s constant. This may be the result of two massless bosons (hypergluons) coupled by a preon (prequark) exchange. It also gives a physical explanation to the origin of the Planck constant, and origin of spin.

Stringy Phenomenology with Preon Models

We compare, following Pati, global symmetries, our topological supersymmetric preon model with the heterotic E8 × E8 string theory. We include Pati’s supergravity based preon model in this work and compare the preon interactions of his model to ours. Based on preon-string symmetry comparison and preon phenomenological results, we conclude that the fundamental particles are likely preons rather than standard model particles. .

Towards 6D Little String Theory of Particles

A model for particles based on preons in chiral, vector and tensor/graviton supermultiplets of unbroken global supersymmetry is engineered. The framework of the model is little string theory. Phenomenological predictions are discussed.

Detachable string magnetically controlled capsule endoscopy for the noninvasive diagnosis of esophageal diseases:A prospective,blind clinical study

BACKGROUND Traditional esophagogastroduodenoscopy(EGD),an invasive examination method,can cause discomfort and pain in patients.In contrast,magnetically controlled capsule endoscopy(MCE),a noninvasive method,is being applied for the detection of stomach and small intestinal diseases,but its application in treating esophageal diseases is not widespread.AIM To evaluate the safety and efficacy of detachable string MCE(ds-MCE)for the diagnosis of esophageal diseases.METHODS Fifty patients who had been diagnosed with esophageal diseases were pros-pectively recruited for this clinical study and underwent ds-MCE and conven-tional EGD.The primary endpoints included the sensitivity,specificity,positive predictive value,negative predictive value,and diagnostic accuracy of ds-MCE for patients with esophageal diseases.The secondary endpoints consisted of visualizing the esophageal and dentate lines,as well as the subjects'tolerance of the procedure.RESULTS Using EGD as the gold standard,the sensitivity,specificity,positive predictive value,negative predictive value,and diagnostic accuracy of ds-MCE for esophageal disease detection were 85.71%,86.21%,81.82%,89.29%,and 86%,respectively.ds-MCE was more comfortable and convenient than EGD was,with 80%of patients feeling that ds-MCE examination was very comfortable or comfortable and 50%of patients believing that detachable string v examination was very convenient.CONCLUSION This study revealed that ds-MCE has the same diagnostic effects as traditional EGD for esophageal diseases and is more comfortable and convenient than EGD,providing a novel noninvasive method for treating esophageal diseases.

Few-shot working condition recognition of a sucker-rod pumping system based on a 4-dimensional time-frequency signature and meta-learning convolutional shrinkage neural network

The accurate and intelligent identification of the working conditions of a sucker-rod pumping system is necessary. As onshore oil extraction gradually enters its mid-to late-stage, the cost required to train a deep learning working condition recognition model for pumping wells by obtaining enough new working condition samples is expensive. For the few-shot problem and large calculation issues of new working conditions of oil wells, a working condition recognition method for pumping unit wells based on a 4-dimensional time-frequency signature (4D-TFS) and meta-learning convolutional shrinkage neural network (ML-CSNN) is proposed. First, the measured pumping unit well workup data are converted into 4D-TFS data, and the initial feature extraction task is performed while compressing the data. Subsequently, a convolutional shrinkage neural network (CSNN) with a specific structure that can ablate low-frequency features is designed to extract working conditions features. Finally, a meta-learning fine-tuning framework for learning the network parameters that are susceptible to task changes is merged into the CSNN to solve the few-shot issue. The results of the experiments demonstrate that the trained ML-CSNN has good recognition accuracy and generalization ability for few-shot working condition recognition. More specifically, in the case of lower computational complexity, only few-shot samples are needed to fine-tune the network parameters, and the model can be quickly adapted to new classes of well conditions.

Dynamic Response of Two-Degree-of-Freedom Riserless Drill String for Vortex-Induced Vibration Suppression and Enhancement

The mechanical behavior,dynamic evolution,and flow-field distribution of a two-degree-of-freedom riserless drill string were simulated numerically by using FLUENT fluid simulation software with the user-defined function embedded.The rotation angular velocities before and after the critical rotation angular velocity were used as independent variables,and the reduced velocity range was 3-14.Fluid-structure coupling was realized based on the dynamic overset grid and the SST k-ωturbulence model.Results reveal that the dynamic response of the riserless drill string was considerably affected by rotation and flow velocity,which are coupled with each other.The cross-flow average dimensionless displacement increased with the rotation angular velocity,and rotation considerably enhanced the in-line maximum average dimensionless displacement.However,the cross-flow amplitude caused by vortex-induced vibration was suppressed when the rotation angular velocity reached a certain value.The in-line and cross-flow frequencies were the same,thereby causing the trajectory to deviate from the standard'figure-eight'shape and become a closed circle shape.The vortex did not fall behind the cylinder at low reduced velocity with high-rotation angular velocity,and the structure of the near-wake vortex remained U-shaped.The wake of the cylinder was deflected along the cross-flow direction,thereby leading to vibration asymmetry and resulting in increased vibration instability and disordered vibration trajectories,especially at high-rotation angular velocities.

Numerical Analysis of Dynamical Effects Associated with a Plugging String in a Horizontal Well

The finite element method has been applied to simulate the dynamics of a water plugging string in a complex horizontal well of a low-permeability oilfield.The force associated with the pipe string and the packer has been determined under the sucking action of the oil well pump.Such analysis has been conducted for a real drilling well,taking into account the process of lifting,lowering,unblocking and water plugging.Comparison between field measured data and simulation data indicates that the model is reliable and accurate.The packer creep effect under different pressure differences has also been investigated in the framework of the same model.

Energy Cost Minimization Using String Matching Algorithm in Geo-Distributed Data Centers

Data centers are being distributed worldwide by cloud service providers(CSPs)to save energy costs through efficient workload alloca-tion strategies.Many CSPs are challenged by the significant rise in user demands due to their extensive energy consumption during workload pro-cessing.Numerous research studies have examined distinct operating cost mitigation techniques for geo-distributed data centers(DCs).However,oper-ating cost savings during workload processing,which also considers string-matching techniques in geo-distributed DCs,remains unexplored.In this research,we propose a novel string matching-based geographical load balanc-ing(SMGLB)technique to mitigate the operating cost of the geo-distributed DC.The primary goal of this study is to use a string-matching algorithm(i.e.,Boyer Moore)to compare the contents of incoming workloads to those of documents that have already been processed in a data center.A successful match prevents the global load balancer from sending the user’s request to a data center for processing and displaying the results of the previously processed workload to the user to save energy.On the contrary,if no match can be discovered,the global load balancer will allocate the incoming workload to a specific DC for processing considering variable energy prices,the number of active servers,on-site green energy,and traces of incoming workload.The results of numerical evaluations show that the SMGLB can minimize the operating expenses of the geo-distributed data centers more than the existing workload distribution techniques.

Mechanical Analysis of a Multi-Test String in High-Temperature and High-Pressure Deep Wells

The mechanical behavior of the test string in deep wells is generally relatively complex as a result of the high temperature and high pressure,severe dogleg and buckling effects,which in some circumstances can even lead to string failure.Traditional computational methods for the analysis of these behaviors are often inaccurate.For this reason,here a more accurate mechanical model of the test string is introduced by considering variables such as temperature,pressure,wellbore trajectory,and buckling,as well as combining them with the deformation and string constraint conditions brought in by changes in temperature and pressure during the tripping,setting,and test operations.The model is validated by applying it to a specific high-pressure gas well(located in Northeast Sichuan).

Passability test and simulation of sand control string with natural gas hydrates completion in large curvature hole

To meet the requirements of marine natural gas hydrate exploitation,it is necessary to improve the penetration of completion sand control string in the large curvature borehole.In this study,large curvature test wells were selected to carry out the running test of sand control string with pre-packed screen.Meanwhile,the running simulation was performed by using the Landmark software.The results show that the sand control packer and screen can be run smoothly in the wellbore with a dogleg angle of more than 20°/30 m and keep the structure stable.Additionally,the comprehensive friction coefficient is 0.4,under which and the simulation shows that the sand control string for hydrate exploitation can be run smoothly.These findings have important guiding significance for running the completion sand control string in natural gas hydrate exploitation.

基于管柱动力学的特深井通井组合刚度评价方法与应用

我国特深井钻井正处于快速发展阶段,受井眼尺寸大和深度深的影响,钻井过程中极易出现微井斜、扩径缩径和井壁台阶等,导致套管下入困难,因此通井钻具组合评价尤为重要。目前,现场使用的评价方法常忽略了管柱下入过程中与井壁的碰撞和变形,导致通井效果时好时坏。为了辅助现场施工,文章基于全井管柱动力学模型和HHT-α数值计算方法提出了一种能够模拟管柱下入的动态过程的通井钻具组合的评价方法,该方法考虑了实测井眼轨迹、井眼扩大率和下入阻力等要素。通过某特深井三开下套管前的钻具组合进行实例计算分析,表明井眼扩大率和套管串下入阻力对通井能力和套管下入影响较大,当井眼扩大率较小且套管串下入阻力较大时,需要使用刚度较大的多扶正器通井钻具组合。本方法可以实现实测井况条件下比较精准的刚度对比模拟,也成功指导了案例井?486 mm套管的安全下入。

万米深井上部大尺寸井眼钻柱动力学特性研究

油气勘探已向更深、更复杂的超深层的万米勘探新领域推进,但上部大尺寸井眼给万米深井的钻井提出了巨大挑战:岩石硬和返速低导致钻速慢,大尺寸井眼内剧烈振动导致钻具裂纹多发,钻压小则钻速慢,钻压稍大则下部振动快速加剧从而导致大尺寸钻具使用寿命远低于预期。为此,在对比研究了深地川科1井(以下简称SDCK-1井)和毗邻8000 m超深井上部井段钻柱振动问题基础上,基于全井钻柱系统动力学模型和数值仿真方法,针对性研究了大尺寸井眼中的钻柱动力学特性。研究结果表明:①井眼尺寸越大,钻头和下部钻具的振动越剧烈,SDCK-1井二开大尺寸井眼与邻井中等尺寸井眼相比(井深500 m处),其钻头及下部钻具振动强度均值分别增加了48.0%和41.5%,比SDCK-1井三开中等尺寸3000 m井深的钻头及下部钻具振动强度均值分别高了29.0%和2.9%;②相同井眼尺寸和岩石特性情况下,下部钻具组合比钻柱整体长度对钻头振动的影响更大,优化下部钻具组合能够明显改善钻头振动,保护钻头,同时还可以提高钻头破岩能量利用效率实现钻井提速;③在大尺寸井眼中钻头破岩激励向上传播,横向振动衰减慢于轴向振动衰减,大尺寸钻头扭矩更大且钻压和扭矩波动更加明显,因此从保护下部钻具的角度出发,大尺寸井眼钻具组合对抑制横振更加有效;④大尺寸井眼中下部钻具弯矩和弯矩波动更大,现场频繁出现的钻具裂纹除受控于整体振动强度较大以外,交变弯矩是裂纹发生的重要原因。结论认为,该研究成果揭示了超深井大尺寸井眼中钻柱的动力学特性,指出了应着重控制横振和交变弯矩,该认识可以为超深井上部大尺寸井眼钻井提供技术指导。

考虑“筒中筒”耦合作用的深水隔水管柱与钻柱碰摩运动规律

深水钻井时,旋转钻柱与海洋环境力作用下发生振动的隔水管柱易发生接触,造成钻柱与隔水管柱的碰撞或者摩擦。为了解隔水管柱与钻柱间的运动状态,减轻两者间碰摩,保证作业安全性,提出了一种模拟深水隔水管柱-钻柱组成的“筒中筒”耦合系统模型,通过分析二者间的位移与接触力,实现海洋深水钻井作业时隔水管柱与钻柱的耦合动力学模拟的建立。模拟结果表明,考虑隔水管柱与钻柱接触的情况下,海流作用和涡激作用对钻柱的动力学特征具有较大影响;海流速度增加,隔水管柱弯曲程度变大,隔水管柱的振动特征会限制钻柱运动;井口转速增加对钻柱的涡动特征影响小,但会增大钻柱与隔水管柱内壁的接触力,增大钻柱与隔水管柱的失效风险。该理论为海洋深水钻井摩阻分析提供了新的借鉴。

钻柱腐蚀疲劳寿命评价和影响因素分析

油气钻井过程中钻柱受力复杂,容易发生断裂情况,根据现场情况评价钻柱腐蚀疲劳寿命可以为钻柱安全使用提供依据。从现场实用角度,通过轴向力、循环应力和疲劳极限的计算,对比了基于疲劳系数、寿命百分数和旋转计数的钻柱疲劳评价方法,并考虑了腐蚀的影响。分析结果表明,当在严重狗腿度的井段钻进时,弯曲应力和屈曲增加将加快钻柱疲劳失效;当对应的机械钻速降低、转速增加时,钻柱的剩余使用寿命将进一步降低;当发生较严重的腐蚀时,钻柱剩余使用寿命将迅速降低。在高抗拉井段和狗腿度变化大的井段的钻柱应定期倒换使用,以保障现场钻具安全规范使用。

超深井工程理论与技术若干研究进展及发展建议

超深井工程受到高温高压、复杂地层、超长井眼和腐蚀介质等多重因素约束,其安全高效作业面临全方位的技术挑战。为此,针对超深井工程的安全高效设计控制问题,介绍了该工程的发展概况与技术特点;选取井眼轨迹预测与防斜打快、钻柱振动特性分析与减振控制、钻井延伸极限预测与设计控制,以及套管失效风险评估与安全控制等几个重要理论与技术问题,介绍了国内外的相关研究进展及笔者团队的最新研究成果;然后,针对超深井工程提出了若干创新发展建议。研究结果表明,超深井工程理论与技术的发展整体呈现出体系化、科学化、多学科交叉、地质与工程一体化等基本特点。建议在基础理论问题、关键核心技术、技术协同关系、技术迭代模式和多学科交叉融合等方面加强创新研究,以持续推进超深井工程基础理论与关键技术创新发展。

考虑深井井下动力钻具影响的钻柱粘滑振动规律

油气勘探开发统计数据显示,深井钻井过程中粘滑振动频发,占钻进时长的50%以上,严重影响了钻井井下安全,延长了钻井周期,增加了钻井成本。由于深井钻柱结构较为复杂,井下动力钻具应用普遍,但动力钻具对井底钻头粘滑振动的影响规律缺乏深入研究,目前尚未有学者提出深井动力钻具下的钻柱全尺寸动力学模型。为此,基于弹簧集中质量原理,建立了包含井下动力钻具的粘滑振动仿真模型和螺杆钻具输出参数的计算模型,研究了螺杆钻具、扭力冲击器及两种工具复合使用对钻头粘滑振动的影响,并基于模型分析了现场实钻案例。研究结果表明:(1)使用螺杆钻具复合钻进时,转盘转速与螺杆转速对粘滑振动影响较大,复合转速越大,越有利于消除粘滑振动;(2)钻压和钻头尺寸越大,需要消除粘滑振动的转速就越大;(3)在保证水力参数的情况下,螺杆输出较高的扭矩和转速,能够有效地抑制钻头粘滑;(4)扭力冲击器和螺杆钻具复合使用情况下,当螺杆钻具的输出参数不足以抑制粘滑振动时,提高扭力冲击器的冲击扭矩和冲击频率,可降低螺杆钻具的临界转速,抑制井底粘滑振动。结论认为,该动力学模型可以为深井合理使用动力钻具、避免粘滑振动和提高机械钻速提供有效的技术支撑,该理论新认识在指导钻井现场钻进,提高钻井效率和降低钻井成本等方面具有重要的现实意义。

井下管柱熔融切割工具研制

现阶段井下管柱恶性遇卡处置效率低、处置时间长,甚至会诱发井眼附加伤害,成为制约井下作业效率及安全的主要因素。为此,研制出一种基于高温熔融的金属管柱快速切割解卡作业工具。将工具下放至目标深度后,利用锚定机构实现工具与被切割管柱的相对固定,采用电激发特制的高能铝热药柱;铝热药剂急速反应释放极量、超高温的等离子火焰;火焰由特殊设计的喷射机构引导喷射,沿径向高速喷出对管柱实施径向熔切。开展液态环境中ø127 mm加重钻杆熔切试验,验证工具井下作业的可行性。研究结果表明:锚定机构能顺利完成工具与被切割管柱的相对固定,药剂能被顺利激发,喷射机构能引导火焰高速喷射实施径向熔切。该工具可对不同厚度的管柱实施熔切作业,管柱熔切深度与装药量相关,10 kg装药量下,切割用时8 s,切割平均深度达21 mm。该工具及其技术可为井下遇卡管柱高效、安全解卡提供新的解决方案。

基于变异的正则表达式反例测试串生成算法

正则表达式在计算机科学的许多领域具有广泛应用.然而,由于正则表达式语法比较复杂,并且允许使用大量元字符,导致开发人员在定义和使用时容易出错.测试是保证正则表达式语义正确性的实用和有效手段,常用的方法是根据被测表达式生成一些字符串,并检查它们是否符合预期.现有的测试数据生成大多只关注正例串,而研究表明,实际开发中存在的错误大部分在于定义的语言比预期语言小,这类错误只能通过反例串才能发现.研究基于变异的正则表达式反例测试串生成.首先通过变异向被测表达式中注入缺陷得到一组变异体,然后在被测表达式所定义语言的补集中选取反例字符串揭示相应变异体所模拟的错误.为了能够模拟复杂缺陷类型,以及避免出现变异体特化而无法获得反例串的问题,引入二阶变异机制.同时采取冗余变异体消除、变异算子选择等优化技术对变异体进行约简,从而控制最终生成的测试集规模.实验结果表明,与已有工具相比,所提算法生成的反例测试串规模适中,并且具有较强的揭示错误能力.

基于IAOA-KELM的储气库注采管柱内腐蚀速率预测

针对储气库注采管柱的内腐蚀速率预测问题,建立了基于阿基米德优化算法(Archimedes Optimization Algorithm,AOA)与核极限学习机(Kernel Extreme Learning Machine,KELM)相结合的模型提高腐蚀速率预测精度。通过引入佳点集、改进密度降低因子、采用黄金正弦算法缩小搜索空间,提高局部开发能力,利用改进阿基米德优化算法(Improved Archimedes Optimization Algorithm,IAOA)优化KELM正则化系数(C)和核函数参数(γ),进而建立IAOA-KELM储气库注采管柱内腐蚀速率预测模型;使用MATLAB软件运用该模型对某注采管柱内腐蚀数据集进行学习与预测,将IAOA-KELM模型与KELM、粒子群优化算法(Particle Swarm Optimization,PSO)-KELM、AOA-KELM结果进行预测误差对比。结果表明,IAOA-KELM模型的预测值与实际值较为拟合,其E RMSE为0.65%,E MAE为0.39%,R 2为99.83%,均优于其他模型。研究表明,IAOA-KELM模型能够更为准确地预测储气库注采管柱内腐蚀速率,为储气库注采管柱的运维及储气库的健康管理提供参考。

注氮气机抽防腐防垢一体化管柱的研制与应用

针对塔河油田注氮气机抽井井筒及井下工具严重腐蚀结垢,易造成抽油泵卡泵、封隔器解封困难等井下故障的问题,在现有技术的基础上,优化改进结构、技术创新,研制了一种注氮气防腐防垢机抽一体化管柱。该管柱包括注气防垢杆式泵、防腐封隔器等关键工具,注气防垢杆式泵优化改进了柱塞和泵筒的结构,泵筒上部设计注气孔、下部设计封堵筒,柱塞下部设计密封堵头,注气时柱塞下部堵头将进油通道密封,能防止高压油液倒灌进入泵腔发生腐蚀结垢,消除柱塞下放失败的风险;防腐封隔器采用新型护肩式的胶筒组件及双“O”型圈、双向支撑密封结构、分级解封机构和分体式双向卡瓦锚定结构,提高封隔器胶筒的耐腐蚀性能、降低上提解封力和保证卡瓦锚定性能。经过理论校核和室内模拟试验均满足现场需求,现场应用表明,该管柱坐封、解封及注气均正常,转采成功率100%,满足开发需求,解决了注气腐蚀结垢卡泵和封隔器解封困难的工程难题,具有很高的推广价值。