Array processing-a new method to detect and correct errors on array resistivity logging tool measurements

In recent years more and more multi-array logging tools, such as the array induction and the array lateralog, are applied in place of conventional logging tools resulting in increased resolution, better radial and vertical sounding capability and other features. Multi-array logging tools acquire several times more individual measurements than conventional logging tools. In addition to new information contained in these data, there is a certain redundancy among the measurements. The sum of the measurements actually composes a large matrix. Providing the measurements are error-free, the elements of this matrix show certain consistencies. Taking advantage of these consistencies, an innovative method is developed to detect and correct errors in the array resistivity logging tool raw measurements, and evaluate the quality of the data. The method can be described in several steps. First, data consistency patterns are identified based on the physics of the measurements. Second, the measurements are compared against the consistency patterns for error and bad data detection. Third, the erroneous data are eliminated and the measurements are re-constructed according to the consistency patterns. Finally, the data quality is evaluated by comparing the raw measurements with the re-constructed measurements. The method can be applied to all array type logging tools, such as array induction tool and array resistivity tool. This paper describes the method and illustrates its application with the High Definition Lateral Log （HDLL, Baker Atlas） instrument. To demonstrate the efficiency of the method, several field examples are shown and discussed.

Phosphorylated protein chip combined with artificial intelligence tools for precise drug screening

We have developed a protein array system,named"Phospho-Totum",which reproduces the phosphorylation state of a sample on the array.The protein array contains 1471 proteins from 273 known signaling pathways.According to the activation degrees of tyrosine kinases in the sample,the corresponding groups of substrate proteins on the array are phosphorylated under the same conditions.In addition to measuring the phosphorylation levels of the 1471 substrates,we have developed and performed the artificial intelligence-assisted tools to further characterize the phosphorylation state and estimate pathway activation,tyrosine kinase activation,and a list of kinase inhibitors that produce phosphorylation states similar to that of the sample.The Phospho-Totum system,which seamlessly links and interrogates the measurements and analyses,has the potential to not only elucidate pathophysiological mechanisms in diseases by reproducing the phosphorylation state of samples,but also be useful for drug discovery,particularly for screening targeted kinases for potential drug kinase inhibitors.

Influence of tool material and rotational speed on mechanical properties of friction stir welded AZ31B magnesium alloy

In this investigation,the effect of friction stir welding(FSW)parameters such as tool material rotational speed,and welding speed on the mechanical properties of tensile strength,hardness and impact energy of magnesium alloy AZ31B was studied.The experiments were carried out as per Taguchi parametric design concepts and an L9 orthogonal array was used to study the influence of various combinations of process parameters.Statistical optimization technique,ANOVA,was used to determine the optimum levels and to find the significance of each process parameter.The results indicate that rotational speed(RS)and traverse speed(TS)are the most significant factors,followed by tool material(TM),in deciding the mechanical properties of friction stir processed magnesium alloy.In addition,mathematical models were developed to establish relationship between different process variables and mechanical properties.

Influence of tool pin profile and rotational speed on the formation of friction stir welding zone in AZ31 magnesium alloy

In this investigation,the effect of friction stir welding(FSW)parameters such as tool pin profiles,rotational speed and welding speed on the mechanical properties of tensile strength,hardness and impact energy of magnesium alloy AZ31 was studied.The experiments were carried out as per Taguchi parametric design concepts and an L9 orthogonal array was used to study the influence of various combinations of process parameters.Statistical optimization technique,ANOVA,was used to determine the optimum levels and to find the significance of each process parameter.The results indicate that rotational speed(RS)and transverse speed(TS)are the most significant factors,followed by tool pin profile(PF),in deciding the mechanical properties of friction stir welded magnesium alloy.In addition,mathematical models were developed to establish relationship between different process variables and mechanical properties.

Simulation logging experiment and interpretation model of array production logging measurements in a horizontal well

The distributions of local velocity and local phase holdup along the radial direction of pipes are complicated because of gravity differentiation,and the distribution of fluid velocity fi eld changes along the gravity direction in horizontal wells.Therefore,measuring the mixture flow and water holdup is difficult,resulting in poor interpretation accuracy of the production logging output profile.In this paper,oil–water two-phase flow dynamic simulation logging experiments in horizontal oil–water two-phase fl ow simulation wells were conducted using the Multiple Array Production Suite,which comprises a capacitance array tool(CAT)and a spinner array tool(SAT),and then the response characteristics of SAT and CAT in diff erent fl ow rates and water cut production conditions were studied.According to the response characteristics of CAT in diff erent water holdup ranges,interpolation imaging along the wellbore section determines the water holdup distribution,and then,the oil–water two-phase velocity fi eld in the fl ow section was reconstructed on the basis of the fl ow section water holdup distribution and the logging value of SAT and combined with the rheological equation of viscous fl uid,and the calculation method of the oil–water partial phase fl ow rate in the fl ow section was proposed.This new approach was applied in the experiment data calculations,and the results are basically consistent with the experimental data.The total fl ow rate and water holdup from the calculation are in agreement with the set values in the experiment,suggesting that the method has high accuracy.

基于BRB-ArrayTools和GATHER工具对膀胱癌相关基因的挖掘及生物信息学分析

目的:从分子水平探讨膀胱癌的发病机制,为临床诊疗提供新思路。方法:从公共基因芯片数据库(GEO)中下载人膀胱癌的相关基因芯片数据,使用BRB-ArrayTools软件对其进行分析,筛选差异基因;并利用GATHER工具进行生物信息学分析。结果:BRB分析发现122个差异表达基因,其中上调55个,下调67个;GATHER分析发现这些差异基因的功能主要集中在细胞的生理过程、细菌凝聚反应的诱导作用、Jak-STAT和Toll-like受体的信号通路及细胞因子相互作用等生物学过程。结论:利用生物信息学方法能有效分析基因芯片数据并获取内在信息,为确定膀胱癌的早期诊断标志与治疗靶点提供新的思路。

黑色素瘤转移相关基因的生物信息学分析

目的通过对与黑色素瘤转移相关的基因芯片进行生物信息学分析,为探索黑色素瘤转移的分子机制提供理论依据。方法从公共基因数据库(GEO)中下载与黑色素瘤转移相关的基因芯片数据,经数据预处理后,分别通过BRB-Array Tools软件、DAVID在线分析软件、STRING在线数据库和Cytoscape软件进行差异表达基因的筛选、功能注释、通路分析、蛋白互作网络分析并计算网络及各个节点的拓扑特性。结果 BRB分析筛选出196个黑色素瘤转移差异表达基因,其中上调133个,下调36个,DAVID分析发现其主要集中在角质形成细胞分化、组织细胞间黏附、肥大细胞分化等生物学过程和Rap1信号通路、p53信号通路、谷胱甘肽代谢等通路。STRING分析发现了蛋白质网络互作图中的9个关键基因,分别为KRT14、KRT16、KRT1、EGFR、KIT、DSP、DSG1、PKP1、KLK7。结论通过生物信息学的方法对黑色素瘤转移相关基因芯片数据进行2次挖掘,为进一步研究黑色素瘤转移的相关机制提供了理论依据。

Research on the Coordinated Control of the Multi-point Array Support Force of Complex Structural Parts

Multi-point array flexible tooling based on multilateration is widely used in the processing and manufacturing of complex curved surface parts. However, during the positioning of workpieces, the force exerted on each flexible support point is not uniform, and there exists force coupling between the support units. In response to the force coupling problem in the multi-point array positioning support process, a coordinated control method for the support force of multi-point array positioning combining correlation coefficient and regression analysis was proposed in this paper. The Spearman correlation coefficient was adopted in this method to study the force coupling correlation between positioning points, and a mathematical model of force coupling was established between positioning units through regression analysis, which can quickly and accurately perform coordinated control of the multilateration support system, and effectively improve the force interference of the multi-point array positioning support scene.

基于FPGA的控制算法定点化设计

运动控制算法在现场可编程逻辑门阵列(Field Programmable Gate Array,FPGA)上实现过程中,当数据类型由浮点转定点时,存在无法保证高精度的问题。为此使用simulink中的定点工具(Fixed-Point Tool)对算法内部各信号数据的范围进行分析,然后人为地对Fixed-Point Tool给出的建议位宽进行修正,从而使算法在保证较高精度的同时,也解决了采用统一较长位宽在FPGA上实现时造成的资源浪费问题。与传统的人为定义数据位宽相比,使用Fixed-Point Tool设置数据位宽,在输入数据范围发生变化时,能够更加灵活、动态地调整算法内部数据位宽。

Development of a Reconfigurable Platform for Manufacturing Equipment Control

In modern manufacturing equipment control area,controller is required to deliver higher computing capability for adopting advanced algorithms to meet speed and accuracy requirements,and reconfigurabilities for changing or(and)adding features or functions.This paper presents a methodology in design and implementation of a high performance and reconfigurable platform for manufacturing equipment control.This methodology is in virtue of system on a programmable chip(SoPC)technolo- gy but replacing the on-chip processor by an external high performance,floating-point digital signal processor(DSP).The appli- cation of the DSP is designed as a multi-threaded framework,which has more flexibilities than a traditional single-loop one.Fur- thermore,the field programmable gate array(FPGA)system can be reconfigured easily and quickly to meet a new requirement by dragging and dropping pre-built components in a SoPC building environment.As a result,the controller platform is more recon- figurable in terms of algorithms and functions.This platform is implemented in a 3-axis milling machine control and the result indicates that the design and implementation presented in this paper is feasible.

Bioinformatics Research on Chronic Superficial Gastritis of Pi-deficiency Syndrome by Gene Arrays

Objective： To determine the bioinformatical characteristics of differential gene expression in patients with chronic superficial gastritis （CSG） with the Pi-deficiency syndrome （PDS） and those of the non- Pi-deficiency syndrome （non-PDS）, i.e. patients of CSG with Pi （脾）-Wei （胃） dampnese-heat syndrome and healthy persons. Methods： With the BRB-Array Tools software package, original data collection and bioinformatic analysis of gene arrays were conducted in 6 CSG patients of PDS （CSG-PDS）, 6 CSG patients of non-PDS （CSG-nPDS）, and 6 healthy volunteers （Normal）. Results： Compared with non-PDS, the gene expressions in PDS with regards to protein synthesis, energy metabolism, immune reaction and ionic transport tended to be down-regulated, while those concerning secretion, cytoskeleton and ubiquitinization were up-regulated dominantly. Conclusions： The two kinds of samples, CSG-PDS/Normal and CSG-PDS/CSG-nPDS, have their respective gene expression profiles with different characteristics. Gene expression profile has certain referential significance in syndrome classification.