Statistical methods of fracture characterization using acoustic borehole televiewer log interpretation

机译：骨折表征统计方法使用声学钻孔电视探测器日志解释

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Abstract > Acoustic borehole televiewer (BHTV) logs provide measurements of fracture attributes (orientations, thickness, and spacing) at depth. Orientation, censoring, and truncation sampling biases similar to those described for one‐dimensional outcrop scanlines, and other logging or drilling artifacts specific to BHTV logs, can affect the interpretation of fracture attributes from BHTV logs. K ‐means, fuzzy K ‐means, and agglomerative clustering methods provide transparent means of separating fracture groups on the basis of their orientation. Fracture spacing is calculated for each of these fracture sets. Maximum likelihood estimation using truncated distributions permits the fitting of several probability distributions to the fracture attribute data sets within truncation limits, which can then be extrapolated over the entire range where they naturally occur. Akaike Information Criterion (AIC) and Schwartz Bayesian Criterion (SBC) statistical information criteria rank the distributions by how well they fit the data. We demonstrate these attribute analysis methods with a data set derived from three BHTV logs acquired from the high‐temperature Rotokawa geothermal field, New Zealand. Varying BHTV log quality reduces the number of input data points, but careful selection of the quality levels where fractures are deemed fully sampled increases the reliability of the analysis. Spacing data analysis comprising up to 300 data points and spanning three orders of magnitude can be approximated similarly well (similar AIC rankings) with several distributions. Several clustering configurations and probability distributions can often characterize the data at similar levels of statistical criteria. Thus, several scenarios should be considered when using BHTV log data to constrain numerical fracture models. </span> <span class="z_kbtn z_kbtnclass hoverxs" style="display: none;">展开▼</span> </div> <div class="translation abstracttxt"> <span class="zhankaihshouqi fivelineshidden" id="abstract"> <span>机译：</span><Abstract Type =“Main”XML：ID =“JGRB52235-Abs-Abs-0001”> <Title Type =“Main”> Abstract </ Title> >声学钻孔电视查看器（BHTV）日志提供骨折属性的测量（方向，深度厚度和间距）。类似于用于一维露出扫描线的那些类似于用于BHTV日志的一维露出扫描线和其他日志记录或钻孔工件的方向，审查和截断采样偏差，可能会影响来自BHTV日志的骨折属性的解释。 k </ i> - 模糊，模糊 k </ i> - emeans，附聚类聚类方法提供基于它们的方向分离骨折组的透明手段。为这些骨折组中的每一个计算裂缝间隔。使用截短的分布的最大似然估计允许将几个概率分布的拟合分布到截断限制内的骨折属性数据集，然后可以在它们自然发生的整个范围内推断。 Akaike信息标准（AIC）和Schwartz Bayesian标准（SBC）统计信息标准将分布评为它们适合数据的程度。我们展示了这些属性分析方法，具有从新西兰高温Rotokawa地热场获取的三个BHTV日志衍生的数据集。不同的BHTV日志质量降低了输入数据点的数量，但仔细选择裂缝被认为完全采样的质量水平提高了分析的可靠性。间隔数据分析包括多达300个数据点和跨越三个数量级可以近似（类似的AIC排名）与若干分布相似。几个聚类配置和概率分布通常可以在类似级别的统计标准中表征数据。因此，在使用BHTV日志数据时应该考虑几种情况，以约束数值骨折模型。 </ p> </span> <span class="z_kbtn z_kbtnclass hoverxs" style="display: none;">展开▼</span> </div> </div> <div class="record"> <h2 class="all_title" id="enpatent33" >著录项</h2> <ul> <li> <span class="lefttit">来源</span> <div style="width: 86%;vertical-align: text-top;display: inline-block;"> <a href='/journal-foreign-34677/'>《Journal of geophysical research. Solid earth: JGR》</a> <b style="margin: 0 2px;">|</b><span>2017年第8期</span><b style="margin: 0 2px;">|</b><span>共17页</span> </div> </li> <li> <div class="author"> <span class="lefttit">作者</span> <p id="fAuthorthree" class="threelineshidden zhankaihshouqi"> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Massiot Cécile&option=202" target="_blank" rel="nofollow">Massiot Cécile;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Townend John&option=202" target="_blank" rel="nofollow">Townend John;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Nicol Andrew&option=202" target="_blank" rel="nofollow">Nicol Andrew;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=McNamara David D.&option=202" target="_blank" rel="nofollow">McNamara David D.;</a> </p> <span class="z_kbtnclass z_kbtnclassall hoverxs" id="zkzz" style="display: none;">展开▼</span> </div> </li> <li> <div style="display: flex;"> <span class="lefttit">作者单位</span> <div style="position: relative;margin-left: 3px;max-width: 639px;"> <div class="threelineshidden zhankaihshouqi" id="fOrgthree"> <p>School of Geography Environment and Earth SciencesVictoria University of WellingtonWellington New Zealand;</p> <p>School of Geography Environment and Earth SciencesVictoria University of WellingtonWellington New Zealand;</p> <p>Department of Geological SciencesUniversity of CanterburyChristchurch New Zealand;</p> <p>GNS ScienceAvalonLower Hutt New Zealand;</p> </div> <span class="z_kbtnclass z_kbtnclassall hoverxs" id="zhdw" style="display: none;">展开▼</span> </div> </div> </li> <li > <span class="lefttit">收录信息</span> <span style="width: 86%;vertical-align: text-top;display: inline-block;"></span> </li> <li> <span class="lefttit">原文格式</span> <span>PDF</span> </li> <li> <span class="lefttit">正文语种</span> <span>eng</span> </li> <li> <span class="lefttit">中图分类</span> <span><a href="https://www.zhangqiaokeyan.com/clc/163.html" title="地球物理学">地球物理学;</a></span> </li> <li class="antistop"> <span class="lefttit">关键词</span> <p style="width: 86%;vertical-align: text-top;"> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=BHTV log&option=203" rel="nofollow">BHTV log;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=fracture&option=203" rel="nofollow">fracture;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=clustering&option=203" rel="nofollow">clustering;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=scaling&option=203" rel="nofollow">scaling;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=maximum likelihood estimation&option=203" rel="nofollow">maximum likelihood estimation;</a> </p> <div class="translation"> 机译：BHTV日志;骨折;聚类;缩放;最大似然估计; </div> </li> </ul> </div> </div> <div class="literature cardcommon"> <div class="similarity "> <h3 class="all_title" id="enpatent66">相似文献</h3> <div class="similaritytab clearfix"> <ul> <li class="active" >外文文献</li> <li >中文文献</li> <li >专利</li> </ul> </div> <div class="similarity_details"> <ul > <li> <div> <b>1. </b><a class="enjiyixqcontent" href="/journal-foreign-detail/0704020652078.html">Statistical methods of fracture characterization using acoustic borehole televiewer log interpretation</a> <b>[J]</b> . <span> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Massiot Cecile&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor">Massiot Cecile,</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Townend John&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor">Townend John,</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Nicol Andrew&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor">Nicol Andrew,</a> <a href="/journal-foreign-34656/" target="_blank" rel="nofollow" class="tuijian_authcolor">Journal of Geophysical Research. 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<ul style="display: none;"> <li> <div> <b>1. </b><a class="enjiyixqcontent" href="/patent-detail/061202339712.html">通过使用钻头地震对断裂的干涉测量钻头成像、时间反演成像来进行断裂表征、和经由时间反演的声学和电震对断裂产生的监测</a> <b>[P]</b> . <span> 中国专利： CN103250072B </span> <span> . 2017.02.22</span> </div> </li> <li> <div> <b>2. </b><a class="enjiyixqcontent" href="/patent-detail/06120102047631.html">通过使用钻头地震对断裂的干涉测量钻头成像、时间反演成像来进行断裂表征、和经由时间反演的声学和电震对断裂产生的监测</a> <b>[P]</b> . <span> 中国专利： CN103250072A </span> <span> . 2013-08-14</span> </div> </li> <li> <div> <b>3. </b><a class="enjiyixqcontent" href="/patent-detail/06130401240097.html">methods for monitoring a borehole below hydraulic fracturing process, for hydraulic borehole fracturing, and for fracture mapping during a hydraulic fracturing process, borehole monitoring system, computer program product, and use of a sensor acoustic.</a> <b>[P]</b> . <span> 外国专利：  NO344980B1 </span> <span> . 2020-08-10</span> </div> <p class="zwjiyix translation" style="max-width: initial;height: auto;word-break: break-all;white-space: initial;text-overflow: initial;overflow: initial;"> <span>机译：用于在水力压裂过程以下监测井眼，在水力压裂过程中进行水力压裂以及在水力压裂过程中进行裂缝测绘的方法，井眼监测系统，计算机程序产品以及传感器声学的使用。 </span> </p> </li> <li> <div> <b>4. </b><a class="enjiyixqcontent" href="/patent-detail/06130401240771.html">methods for monitoring a borehole below hydraulic fracturing process, for hydraulic borehole fracturing, and for fracture mapping during a hydraulic fracturing process, borehole monitoring system, computer program product, and use of a sensor acoustic.</a> <b>[P]</b> . <span> 外国专利：  NO344356B1 </span> <span> . 2019-11-11</span> </div> <p class="zwjiyix translation" style="max-width: initial;height: auto;word-break: break-all;white-space: initial;text-overflow: initial;overflow: initial;"> <span>机译：用于在水力压裂过程以下监测井眼，在水力压裂过程中进行水力压裂以及在水力压裂过程中进行裂缝测绘的方法，井眼监测系统，计算机程序产品以及传感器声学的使用。 </span> </p> </li> <li> <div> <b>5. </b><a class="enjiyixqcontent" href="/patent-detail/06130412218888.html">methods for monitoring a borehole below hydraulic fracturing process, for hydraulic borehole fracturing, and for fracture mapping during a hydraulic fracturing process, borehole monitoring system, computer program product, and use of a sensor acoustic.</a> <b>[P]</b> . <span> 外国专利：  BRPI1012028A2 </span> <span> . 2016-05-10</span> </div> <p class="zwjiyix translation" style="max-width: initial;height: auto;word-break: break-all;white-space: initial;text-overflow: initial;overflow: initial;"> <span>机译：用于在水力压裂过程以下监测井眼，在水力压裂过程中进行水力压裂以及在水力压裂过程中进行裂缝测绘的方法，井眼监测系统，计算机程序产品以及传感器声学的使用。 </span> </p> </li> </ul> </div> </div> </div> <div class="theme cardcommon" style="overflow: auto;display:none"> <h3 class="all_title" id="enpatent55">相关主题</h3> <ul id="subject"> </ul> </div> </div> </div> </div> <div class="right rightcon"> <div class="details_img cardcommon clearfix" style="margin-bottom: 10px;display:none;" > </div> </div> </div> <div id="thesis_get_original1" class="downloadBth" style="bottom: 19px;z-index: 999;" 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