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钻井液优化
相关语句
  drilling fluid optimization
     Drilling Fluid Optimization Design System
     钻井液优化设计系统
短句来源
     Intelligent method for drilling fluid optimization
     钻井液优化设计的智能化方法
短句来源
     Research on Drilling Fluid Optimization Design System with Case-bases Reasoning
     基于范例推理的钻井液优化设计系统的研究
     Drilling Fluid Optimization for Horizontal Wells
     水平井钻井液优化的几点思考
短句来源
     A new method for fast predicting of drilling fluid optimization program is established based on the data-mining technology.
     利用数据挖掘技术建立了一套快速预测钻井液优化配方的新方法。
短句来源
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  optimization of drilling fluid
     The application of data-mining technology in the optimization of drilling fluid program
     数据挖掘技术在钻井液优化配方设计中应用
短句来源
     An expert system is developed for drilling fluid optimization, based on the study of field design and optimization of drilling fluid.
     在分析整理实际生产中的钻井液优化设计过程的基础上,开发了钻井液优化设计软件。
短句来源
     Optimization of drilling fluid rheological model and accurate calculation of the rheological parameters are the premise of optimizing drilling fluid design.
     钻井液流变模式的优化和流变参数的准确计算是钻井液优化设计的前提。
短句来源
  “钻井液优化”译为未确定词的双语例句
     Design of a Drilling Fluid Optimizing System Based on AI Production
     基于产生式的钻井液优化系统设计
短句来源
     Research and Development of Fluid Optimization Design Software
     钻井液优化设计软件的研制
短句来源
     Optimum design of anti-sloughing drilling fluid tor Hutubi Field, Xinjiang
     新疆呼图壁地区防塌钻井液优化设计
短句来源
     Discussion on drilling fluids optimum usage in complex formation.
     复杂地层条件下钻井液优化使用的探讨
短句来源
     NEW OPTIMIZED DESIGN METHOD AND APPLICATION OF DRILLING FLUID USED FOR FORMATION DAMAGE CONTROL
     保护储层钻井液优化设计新方法及其应用
短句来源
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An expert system is developed for drilling fluid optimization, based on the study of field design and optimization of drilling fluid. This expert system predicts the reservoir sensitivity and possible complications using the artificial neural network, and quantifies the formation parameters. It searches for a suitable drilling fluid system in the database after quantification, and in accordance with some certain regulations on compatibility. Reasonable drilling fluid performance then could be determined accordingly....

An expert system is developed for drilling fluid optimization, based on the study of field design and optimization of drilling fluid. This expert system predicts the reservoir sensitivity and possible complications using the artificial neural network, and quantifies the formation parameters. It searches for a suitable drilling fluid system in the database after quantification, and in accordance with some certain regulations on compatibility. Reasonable drilling fluid performance then could be determined accordingly.

在分析整理实际生产中的钻井液优化设计过程的基础上,开发了钻井液优化设计软件。首先通过智能化方法将地层参数予以量化,然后通过一定的匹配规则在钻井液特征库中搜索满足要求的钻井液体系,最后根据地层参数确定合理的钻井液性能范围。

A new method for fast predicting of drilling fluid optimization program is established based on the data-mining technology. Tests show that the drilling fluid formulation predicted by this method coincides with that of by laboratory selection. The data-mining tool can provide the required formulation rapidly, and direct the formulation experiment, thus shorten the experiment time and cut down the cost. This method is consisted of the following processes, 1. data preparation, including drilling fluid performance...

A new method for fast predicting of drilling fluid optimization program is established based on the data-mining technology. Tests show that the drilling fluid formulation predicted by this method coincides with that of by laboratory selection. The data-mining tool can provide the required formulation rapidly, and direct the formulation experiment, thus shorten the experiment time and cut down the cost. This method is consisted of the following processes, 1. data preparation, including drilling fluid performance indexes and formulations; 2. pre-processing before model training based on the selected data; 3. data training; 4. verifying of mining using the untrained data; 5. present the suitable drilling fluid formulation, according to the required drilling fluid properties.

利用数据挖掘技术建立了一套快速预测钻井液优化配方的新方法。验证结果表明,应用该方法预测出的钻井液优化配方与实验室优选出的钻井液配方是一致的。该套数据挖掘工具能快速给出符合要求的钻井液配方,指导用户有针对性地进行配方实验,缩短实验时间,降低实验成本,同时极大地提高实验成功率。其基本步骤为:①数据准备,从历史数据中选取数据项和行记录作为进行挖掘的数据集,其中包含钻井液性能指标和配方;②根据所选数据特征进行模型训练前的处理;③数据集训练,先依据钻井液常规性能进行聚类分析挖掘,再对挖掘结果进行预测分析挖掘;④利用数据集中没有参与训练的部分数据集对挖掘进行验证;⑤根据给定的钻井液性能要求,挖掘工具给出相应的钻井液配方。

Production system is a typical structure of AI Based on this structure, the paper set up a knowledge base of drilling fluid optimizing system But the chief problems of the simple production expert system are the efficiency interfere by combined conflict in rule base and invalid match, as well as the error produced by incomplete and imprecise data Using fuzzy reasoning and pattern identification arithmetic, the paper achieved the organization in expert knowledge and optimization design of drilling fluid...

Production system is a typical structure of AI Based on this structure, the paper set up a knowledge base of drilling fluid optimizing system But the chief problems of the simple production expert system are the efficiency interfere by combined conflict in rule base and invalid match, as well as the error produced by incomplete and imprecise data Using fuzzy reasoning and pattern identification arithmetic, the paper achieved the organization in expert knowledge and optimization design of drilling fluid

产生式系统是人工智能中最典型的一种结构 ,本文以这种结构为基础构建了一个钻井液优化系统的知识库。但是简单的产生式专家系统存在的最主要问题是 :规则库的组合爆炸与无效匹配对搜索效率的影响 ,以及非完整和不精确的数据给诊断结果带来的误差 ,本文应用模糊推理及模式识别算法 ,实现了专家知识的组织与钻井液优化设计。

 
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