Iterative static modeling of channelized reservoirs using history-matched facies probability data and rejection of training image

Most inverse reservoir modeling techniques require many forward simulations, and the posterior models cannot preserve geological features of prior models. This study proposes an iterative static modeling approach that utilizes dynamic data for rejecting an unsuitable training image(TI) among a set of TI candidates and for synthesizing history-matched pseudo-soft data. The proposed method is applied to two cases of channelized reservoirs, which have uncertainty in channel geometry such as direction, amplitude, and width. Distance-based clustering is applied to the initial models in total to select the qualified models efficiently. The mean of the qualified models is employed as a history-matched facies probability map in the next iteration of static models. Also, the most plausible TI is determined among TI candidates by rejecting other TIs during the iteration. The posterior models of the proposed method outperform updated models of ensemble Kalman filter(EnKF) and ensemble smoother(ES) because they describe the true facies connectivity with bimodal distribution and predict oil and water production with a reasonable range of uncertainty. In terms of simulation time, it requires 30 times of forward simulation in history matching, while the EnKF and ES need 9000 times and 200 times, respectively.

An advanced workflow to compress the uncertainties of stochastic distribution of Bahariya reservoir properties using 3D static modeling:An example from Heba Oil Fields,Western Desert,Egypt

The main objective of this paper is to construct a static model that compress the uncertainties of the stochastic distribution of the reservoir properties of the Bahariya Formation in Heba field,at the northeastern portion of the Western Desert.This model has been constructed through the integration of the interpretations of the eighteen 2D seismic sections and the analysis of well logs data for four wells(HEBA 300X,E.BAH-E-1X,E.BAH-D-1X,and HEBA 10X)drilled in the study area.This set of data was implemented in a harmonic workflow.Structural framework was the first step created on the basis of the seismic and well log interpretations.Model zonation was mainly managed by the marine flooding events took place during the Cenomanian period.The trapping faults position uncertainty has been compressed through the tying of the seismic profiles with the identified fault cuts in the well data.Effective porosity spectrum was broke up into three reservoir qualities.The results showed heterogeneous facies qualities for oil production in specific five zones in the topmost part of the Bahariya Formation.The effective porosity model was generated stochastically considering the normal distribution for each reservoir quality.Water saturation was distributed by two methods;1)Sequential Gaussian Simulation that was co-simulated by porosity model.2)Log-based saturation height function for each reservoir quality.This methodology provided as accurate as possible estimates for the volume calculation by quantifying the sensitivity of the important parameters such as oil contact.Additionally,the model was prepared to be used as a front end for dynamic simulation.

Establishment of a Static Model Based on Measured Heat Loss for COREX Process

The heat loss and its,distribution are of great importance for the calculation and simulation of COREX process. Based on Baosteel COREX process, a method was applied to measure the heat loss of the furnace shell, the accessory equipments and the cooling water system. Then, a static model was established based on the measured heat loss of COREX process. The results showed that the main heat loss of furnace shells took place at the dome of the COREX melter-gasifier and the reducing gas entrance position of the shaft furnace while the main heat loss caused by cooling water occurred at the tap hole area. And the heat loss caused by cooling water accounts for about 85% of the total heat loss in COREX process. The measured total heat loss for producing every 1 t hot metal was 542. 164 MJ, which accounted for about 92 % of the theoretical total heat loss.

Dynamically triggered seismicity on a tectonic scale:A review

Earthquakes triggered by dynamic disturbances have been confirmed by numerous observations and experiments.In the past several decades,earthquake triggering has attracted increasing attention of scholars in relation to exploring the mechanism of earthquake triggering,earthquake prediction,and the desire to use the mechanism of earthquake triggering to reduce,prevent,or trigger earthquakes.Natural earthquakes and large‐scale explosions are the most common sources of dynamic disturbances that trigger earthquakes.In the past several decades,some models have been developed,including static,dynamic,quasi‐static,and other models.Some reviews have been published,but explosiontriggered seismicity was not included.In recent years,some new results on earthquake triggering have emerged.Therefore,this paper presents a new review to reflect the new results and include the content of explosion‐triggered earthquakes for the reference of scholars in this area.Instead of a complete review of the relevant literature,this paper primarily focuses on the main aspects of dynamic earthquake triggering on a tectonic scale and makes some suggestions on issues that need to be resolved in this area in the future.

Measurement-based approach for identification of static load model of electric power system

The validity of electric power system simulation or prediction models depends on static load model. Measurement- based approach is the unique method to identify them adequately. The measured power depends on both load reaction to supply voltage alteration and random process of load alteration Basically, there is no any universal method that can single out the inherent static load model from experimental data. The paper offers a proprietary technique which is the particular solution of the task. The technique considers the selection of neighboring measurement pairs with the supply voltage altering significantly be-tween them, the exclusion of selected pairs by load power factor and subsequent selection of the inherent static load model presented as the polynomial load model. The usage of the technique to identify static load model at “Fenster” industrial enterprise （in Borisov city） is presented. The ideas considered in the paper can be used for future development of static load model identification methods with the data obtained during both active experiment and in other operating models of electric power systems.

Static Force-Based Modeling and Parameter Estimation for a Deformable Link Composed of Passive Spherical Joints With Preload Forces

To balance the contradiction between higher flexibility and heavier load bearing capacity,we present a novel deformable manipulator which is composed of active rigid joints and deformable links.The deformable link is composed of passive spherical joints with preload forces between socket-ball surfaces.To estimate the load bearing capacity of a deformable link,we present a static force-based model of spherical joint with preload force and analyze the static force propagation in the deformable link.This yields an important result that the load bearing capacity of a spherical joint only depends on its radius,preload force,and static friction coefficient.We further develop a parameter estimation method to estimate the product of preload force and static friction coefficient.The experimental results validate our model.80.4%of percentage errors on the maximum payload mass prediction are below 15%.

Photovoltaic Models Parameters Estimation Based on Weighted Mean of Vectors

Renewable energy sources are gaining popularity,particularly photovoltaic energy as a clean energy source.This is evident in the advancement of scientific research aimed at improving solar cell performance.Due to the non-linear nature of the photovoltaic cell,modeling solar cells and extracting their parameters is one of the most important challenges in this discipline.As a result,the use of optimization algorithms to solve this problem is expanding and evolving at a rapid rate.In this paper,a weIghted meaN oF vectOrs algorithm(INFO)that calculates the weighted mean for a set of vectors in the search space has been applied to estimate the parameters of solar cells in an efficient and precise way.In each generation,the INFO utilizes three operations to update the vectors’locations:updating rules,vector merging,and local search.The INFO is applied to estimate the parameters of static models such as single and double diodes,as well as dynamic models such as integral and fractional models.The outcomes of all applications are examined and compared to several recent algorithms.As well as the results are evaluated through statistical analysis.The results analyzed supported the proposed algorithm’s efficiency,accuracy,and durability when compared to recent optimization algorithms.

IDENTIFICATION OF QUASI-STATIC DISPLACEMENT FOR CONSTITUTIVE MODELS OF VISCOELASTICITY

An explicit relation between constitutive parameters and quasi-static displacement of viscoelasticity is derived under a kind of boundary condition, and an iterative form of optimized identification is presented. Viscoelastic constitutive models are identified from a two order differential model, and effects of information errors on results of inverse analysis are discussed.

Constitutive model of rock under static-dynamic coupling loading and experimental investigation

The importance of study on constitutive model of statically loaded rock experiencing dynamic load is set forth, and the studying methods on dynamic constitutive model are classified according to the current studying status. By way of combining statistic damage model and viscoelastic model, uni-axial and multi-axial constitutive models of statically loaded rock experiencing dynamic load (static-dynamic coupling constitutive model) under intermediate strain rate are established. The verification experiment on 2D constitutive model under different static stress and dynamic stress with different frequencies is designed and performed. It is found that there is a good agreement between the experimental stress-strain curves and the theoretical stress-strain curves.

Thermal analytic model of current gain for bipolar junction transistor-bipolar static induction transistor compound device

This paper proposes a thermal analytical model of current gain for bipolar junction transistor-bipolar static induction transistor （BJT-BSIT） compound device in the low current operation. It also proposes a best thermal compensating factor to the compound device that indicates the relationship between the thermal variation rate of current gain and device structure. This is important for the design of compound device to be optimized. Finally, the analytical model is found to be in good agreement with numerical simulation and experimental results. The test results demonstrate that thermal variation rate of current gain is below 10% in 25 ℃-85 ℃ and 20% in -55 ℃-25 ℃.

市域铁路装配式无砟轨道结构关键参数研究

研究目的:为解决市域铁路现浇枕式无砟轨道结构施工周期长、质量波动大等问题,结合国内各类预制板式无砟轨道应用经验,提出一种适用于市域铁路的新型装配式无砟轨道结构设计方案,建立了可考虑无砟轨道各部件复杂相互作用关系的静、动力学分析模型,研究了轨道板厚度、限位凸台型式及尺寸、限位凸台弹性垫板刚度等参数对轨道结构受力性能的影响,以及轨道结构在160 km/h行车速度下的动力特性。研究结论:(1)综合考虑结构受力情况和建造成本控制,建议轨道板厚度取180~220 mm;限位结构采用“矩形+圆形倒角”凸台方案,长度取400~600 mm,宽度取400~600 mm;凸台弹性垫板刚度取8.4~9.6 kN/mm;(2)列车以160 km/h速度运行时车辆、轨道结构动力特性良好,力学指标均满足规范要求;(3)研究结果可为优化市域铁路装配式无砟轨道结构型式和提升线路质量提供参考。

PPC斜拉桥主梁多状态疲劳及疲劳后静力性能试验研究

为研究大跨径部分预应力混凝土(PPC)斜拉桥主梁的抗疲劳性能,进一步探究混凝土斜拉桥主梁采用部分预应力设计的可行性及合理性,制作了斜拉桥缩尺节段模型,并对主梁采用部分预应力设计,开展4轮共4×250万次主梁具有不同初始损伤及带裂缝工作状态下的疲劳试验;疲劳试验结束后,以4种不同主梁裂缝宽度(0.1mm、0.2mm、0.3mm和0.5mm)为控制工序,反复加载一定倍数的等效活载至主梁裂缝宽度逐步达到0.5mm,以全面研究PPC斜拉桥主梁多状态疲劳后的受力性能。试验结果表明:在等效设计疲劳荷载作用下,主梁无初始损伤时,体系刚度基本无退化,主梁最大裂缝宽度预损伤分别为0.1mm、0.2mm时,跨中截面体系刚度下降量仅为3.35%、4.44%,且未发现裂缝张开;主梁带裂缝工作状态下,跨中截面体系刚度平缓下降7.46%,上峰值静载下,裂缝数量及高度略有增加,但卸载后裂缝均闭合,说明PPC斜拉桥具有良好的抗疲劳性能;疲劳后主梁大损伤静载试验中,主梁裂缝平稳发展,各工序反复加载过程中,主梁挠度、裂缝状态及斜拉索索力均具有较好的恢复能力,当主梁最大裂缝宽度为0.5mm时,荷载达到了7.49倍活载,斜拉桥体系仍然具有较大的剩余承载力。该文试验研究结果表明混凝土斜拉桥主梁采用部分预应力设计具有工程应用的可行性。

结合蜉蝣算法和响应面的结构静力损伤识别

提出了一种结合蜉蝣智能搜索算法和静位移响应面的结构损伤识别方法.首先构造了基于灵敏度的静力损伤识别方程残差和位移残差指标的正则化优化目标函数,然后采用人工智能领域的蜉蝣算法来识别结构单元级别的损伤.在优化过程中,为了解决静力加载点和位移测点不一致的问题,利用模型凝聚和位移扩展方法重新构建了损伤识别方程.同时,利用静位移响应面计算目标函数中的位移残差,避免了耗时的有限元计算,提高了优化效率.简支梁的数值算例结果表明,本文方法在寻优速度和精度方面均优于传统的粒子群法和差分进化算法;与单独基于静力损伤识别方程残差或位移残差指标的方法相比,识别损伤更为准确.铝合金悬臂梁损伤识别的静载实验进一步验证了本文方法的高效率和有效性.

京津冀科技创新投入对产业结构高级化的影响

京津冀科技创新对于推动京津冀地区产业结构高级化提供了有力支撑。通过明确京津冀科技创新投入对产业结构高级化影响的被解释变量、解释变量和控制变量,确定京津冀科技创新投入对产业结构高级化影响的指标。构建京津冀科技创新投入对产业结构高级化影响的静态回归模型和动态回归模型,利用2009—2020年面板数据,深入开展京津冀地区科技创新投入对产业结构高级化影响的对比研究。结果表明:京津冀整体的科技创新投入对其产业结构高级化的影响显著,科技创新投入增加能显著促进产业结构高级化;京津冀科技创新投入对产业结构高级化的影响程度存在显著的空间差异,经济发展水平显著影响地区科技创新投入对产业结构高级化的促进力度;考虑控制变量,区域对外开放水平显著抑制地区产业结构高级化,人力资本水平与政府支持力度对地区产业结构高级化影响存在显著空间差异。根据研究结果,提出京津冀科技创新推动产业结构高级化的对策建议。

静力荷载作用下微观负泊松比锚杆的本构模型

微观负泊松比(NPR)锚杆具有高应力和高均匀延伸的力学特性,但其本构模型的研究还不够深入。故对此开展了静力荷载作用下微观NPR锚杆的拉伸试验,研究了静力拉伸过程中微观NPR锚杆的应变场演化规律,得到了静力荷载作用下微观NPR锚杆的应力-应变关系曲线。基于试验结果,建立了微观NPR锚杆的本构模型,并将该本构模型嵌入到ABAQUS有限元软件中,开展了静力荷载作用下微观NPR锚杆的数值分析。对比试验结果和数值分析的结果可以看出,两者具有较好的一致性,表明所建立的本构模型能够较好地表现微观NPR锚杆的力学特性。

Application of the Static Headland-Bay Beach Concept to a Sandy Beach: A New Elliptical Model

The headland-bay beach is one of the most common coastal types in the world.Its morphology reflects the changes that occurred during long-term evolution of the sandy coast.Several headland-bay beach models have been proposed to simulate the coastline’s configuration in equilibrium.In this paper,a new elliptical model is proposed,described,and applied.On the east coast of Laizhou Bay in Shandong Province from Longkou Port to Diaolongzui,four typical headland-bay beaches have developed,and four headland-bay beach models are used in this paper to simulate the morphology of these beaches to assess the applicability of each model.The simulation results of the elliptical model verify that it is applicable to the study area.In addition,the elliptical model is easy to use.Through simulation and field investigations,we concluded that most of the coastal segments in this area will remain in an erosion state,and the human activity has a significant impact on the shoreline’s evolution.

高强Al-Zn-Mg-Cu合金静态再结晶模型及组织演变

采用Gleeble 3800热模拟试验机对航空用Al-Zn-Mg-Cu合金的热变形行为进行了测试,对变形后的微观组织进行了表征,系统分析了静态软化行为,建立了静态再结晶动力学模型。结果表明:实验用航空Al-Zn-Mg-Cu合金的静态再结晶激活能为129162 J·mol^(-1),静态再结晶体积分数受变形温度、变形程度、变形速率的影响,且变形温度对静态再结晶影响最明显;变形速率一定时,变形温度越高,道次停留时间的影响越不明显;350℃低温变形后,α-Al基体晶粒内部仍存在大量的位错缠结;400℃中温变形后,位错运动能够充分进行,部分晶粒发生了再结晶;450℃高温变形后,基体晶粒基本全部完成了再结晶,基体晶粒内部发现5~25 nm尺寸范围的Al-Zn-Mg-Cu四元相粒子;对于不同热变形条件,模型预测值的误差在0.008~0.0625范围内,动力学模型的计算结果精确度较高。

债务融资对终极股东行为影响的实证分析——基于内部控制质量的门限效应和调节效应

集中股权结构的上市公司中,终极股东对其他中小股东有一定的利益侵害动机,债务融资作为公司治理的一个重要环节,研究其对终极股东行为的影响是一个值得探究的问题。以我国523家非金融类上市公司2007-2022年的面板数据为样本,考虑内部控制质量的门限效应与调节效应,实证检验了债务融资对终极股东掏空行为的促进或抑制效应。研究发现:(1)银行债务、商业信用和长期债务对终极股东掏空行为具有显著的促进效应;当内部控制质量分别大于门限值860.160、873.700、873.700时,此类效应减弱;(2)短期债务对终极股东掏空行为具有显著的抑制效应;当内部控制质量大于门限值873.700时,此效应得到加强;(3)商业信用、长期债务、银行债务对于国有企业中终极股东掏空行为的促进效应,受到内部控制质量的反向调节。研究结论为上市公司制定健全的内部治理环境策略以及为债权人制定合理的借贷策略从而促进上市公司高质量发展提供了参考依据。

动静荷载作用下煤矿TBM滚刀贯入度预测理论模型

全断面掘进机(TBM)掘进过程中,除步进油缸顶推刀盘,带动滚刀切入岩石外,滚刀还受到不同程度的冲击。为研究TBM滚刀在“顶推-冲击”动静荷载耦合作用下的破岩特性,建立了动静荷载作用下滚刀破岩理论分析模型。分别对静载和动载条件下TBM滚刀贯入度进行开展分析研究,获得了动静荷载作用下TBM滚刀贯入度计算公式。基于煤矿TBM掘进硬岩巷道工程问题,计算TBM掘进煤矿巷道滚刀贯入度,并与滚刀贯入度现场监测数据对比,研究结果表明:TBM施工现场滚刀贯入度最大14.7 mm,最小5.2 mm,平均值为9.76 mm,滚刀贯入度理论计算值为9.27 mm,验证了理论模型的准确性。