On calculating rock drillability from log data based on bp neural network technology 神经网络的岩石可钻性测井计算研究
On relation between rock drillability and formation pore pressure from log data 岩石可钻性与地层孔隙压力关系的测井研究
Rock drillability test is the foundation of prediction rock drillability from well logging data 室内岩石微可钻性测试是测井预测岩石可钻性的实验基础。
Because of the merit of continuity , economical efficiency , reliability and high resolution , the well logging has shown its advantages , especially in some drilling engineering problem , such as the prediction of rock drillability , selecting the drill bit types , prediction of formation pressure , calculation the in - situ stress , evaluating the borehole walls stability and determining the reasonable mud density , and etc . aiming at the engineering accidents , for example the well spout , well leak , well collapse and the drill blocking during the drill engineering in the t formation in north - east of sichuan , some farther studies of formation pressure in feixianguan from well - logging information are presented in this dissertation 尤其是在岩石可钻性预测与钻头选型、地层压力预报、地应力计算以及井壁稳定性评价、泥浆密度安全窗确定等钻井工程问题上。测井技术由于连续性、经济性、可靠性及分辨率高等特点,越来越多地显示了其优越性。本文针对川东北部三叠系地层在钻井过程中遇到的井喷、井漏、井塌和卡钻等工程事故,主要对飞仙关组地层压力的测井解释方法作了大量的深入研究工作。
This essay adopts the neural network and some parameters regression analysis to set up the some logging parameters prediction model of the rock drillability , then gets the continuous drillability classification value of single well formation . and deduces the theoretic relation of the formation pore pressure and the rock drillability creatively 本文采用神经网络法与多元回归分析法建立了岩石可钻性测井多参数预测模型及单井地层的连续可钻性级值剖面,同时创造性地推导了地层孔隙压力与岩石可钻性之间的理论关系。
The article introduces the basic concepts and common methods of fuzzy mathematics , initially discussing the applications of fuzzy mathematics in the following aspects : 1 ) division of " skidding " strata with grade of membership that are drilled with diamond bits ; 2 ) comprehensive evaluation on the application in evaluation of diamond bits , classification of rock drillability , and evaluation of clay ; 3 ) classification of " hard rock " through fuzzy clustering analysis ; 4 ) estimation of completion time of boreholes and evaluation of underg round water with fuzzy mathematics ; 5 ) identification of new ore areas and option of best water resource area with fuzzy model ; 6 ) option of diamond bits and evaluation on oil field development plan with fuzzy resemble option and the improved calculation method ; ? ) prediction of mud slurry performance and of the amount of surging water in ore pits with fuzzy control ; 8 ) comprehensive evaluation of diamond bits and supporting plan of deep foundation pit with fuzzy optimal theory 初步探讨了以下几方面的应用: 1 )用隶属度划分金刚石钻进“打滑”地层; 2 )综合评判在金刚石钻头评价、岩石可钻性分级及钻探造浆粘土评价中的应用; 3 )用模糊聚类分析进行“硬岩石”分类; 4 )用模糊数进行钻孔竣工时间预估及地下水质评价; 5 )模糊模式识别在新矿区类型识别和最佳水源地选择中的应用; 6 )模糊相似选择及其改进算法在金刚石钻头选择和油田开发方案评价中的应用; 7 )模糊控制在泥浆性能和矿坑涌水量预测中的应用; 8 )优化理论模型在金刚石钻头和深基坑支护方案综合评价中的应用。
Fuzziness exists everywhere in reality , so we should think it over when we evaluate the things . the evaluation method of fuzzy theory is one of most widely used now . because of the prevalence and development of fuzzy theory , the method is widely used in many fields in our country such as economy , management , environment , education , geology , mining , engineering technology and iatrology 由于我国二十多年来模糊数学普及与发展相当有成效,使得模糊综合评价的应用领域相当广泛,涉及到经济问题评价、管理问题评价、环境评价、教育评价、地质(如岩石可钻性模糊评价) 、采矿(如开采场稳定性评价、爆破效果评价、开采方式评价等) 、工程技术(如主产工艺综合评价、港口选址评价) 、医学等众多领域。