SBIR Phase I: Characterization of Three Dimensional Discontinuity Properties from Digital Images of Rock Masses

SBIR 第一阶段：岩体数字图像的三维不连续性特性表征

• 批准号: 0128392
• 负责人: Jeffrey Handy
• 金额: $ 9.08万
• 依托单位: SPLIT ENGINEERING LLC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-01-01 至 2002-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0128392&HistoricalAwards=false
• 关键词: SBIR; Phase; Characterization; Three; Dimensional

This Small Business Innovation Research (SBIR) Phase I project will investigate the usefulness of image processing technologies for characterizing discontinuities in rock masses. Discontinuities in rock masses include joints, faults, bedding planes, etc., and characterizing these features is one of the most important inputs to engineering design in rock masses. Split Engineering LLC has developed image processing and mathematical algorithms for I) delineating fracture traces in images of rock fractures, and 2) extracting three-dimensional properties (including strike and dip) from the delineated fracture traces. The first objective of the Phase I work is to test and further refine the image processing and mathematical algorithms that have been developed. The second objective is to investigate the synergies between this technology and the laser scanning technologies, which also have great commercial potential in the field of fracture characterization. The third objective is to conduct a number of field case studies to validate the trace analysis approach and to determine under what circumstances it is beneficial to incorporate laser-scanning technologies into the approach.Knowledge of geologic discontinuities is important for a number of industries. Current technologies have resulted in either millions of dollars in damage due to a missed fracture or costly reinforcement where it was not needed because of a misinterpreted discontinuity. Important end-users of the technology proffered by Split Engineering LLC, referred to as the trace analysis technology, are the mining and geotechnical industries. The capability fits in especially well with the need to automate certain rock characterization tasks and incorporate the resulting information into the mining process. If the project is successful in developing improvements in fracture system characterization, benefits for the petroleum and environmental industry are also plausible.

这个小企业创新研究（SBIR）第一阶段项目将调查图像处理技术的有用性，用于表征岩体中的不连续性。岩体中的不连续面包括节理、断层、层面等，描述这些特征是岩体工程设计中最重要的输入之一。Split Engineering LLC开发了图像处理和数学算法，用于I）在岩石裂缝图像中描绘裂缝轨迹，以及2）从描绘的裂缝轨迹中提取三维特性（包括走向和倾角）。第一阶段工作的第一个目标是测试和进一步完善已经开发的图像处理和数学算法。第二个目标是研究该技术与激光扫描技术之间的协同作用，激光扫描技术在断裂表征领域也具有巨大的商业潜力。第三个目标是进行一些现场案例研究，以验证跟踪分析方法，并确定在什么情况下，它是有益的，将激光扫描技术纳入该方法。目前的技术已经导致数百万美元的损失，由于错过了裂缝或昂贵的加固，它是不需要的，因为误解了不连续性。Split Engineering LLC提供的技术（称为痕量分析技术）的重要最终用户是采矿和岩土工程行业。该功能特别适合自动化某些岩石表征任务并将所得信息纳入采矿过程的需求。如果该项目成功地改进了断裂系统的特性，那么石油和环境工业的利益也是合理的。