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2013年秋季SEG杰出讲师荣誉讲座通知
成都理工大学 免费考研网/2016-01-20
2013年秋季SEG杰出讲师荣誉讲座通知
报告题目:Acquisition modeling: expect the unexpected
地震采集建模:意料之外的惊喜
主讲人 Carl Regone
美国德克萨斯州 休斯顿
时间:2013年12月13日 15:00-17:00
地点:第九教学楼国际学术报告厅
摘要
地震采集对于地震成效效果是至关重要的,而不同地方需要设计不同的观测系统,应用不同的采集参数。由于花费巨大,在3D地震区块进行参数变量控制采集实验是不现实的。但是,地震建模正演为进行参数变量控制采集实验提供了可行的方法。采用高阶有限差分复杂地质模型正演方法,我们可以得到非常逼真的合成地震数据。这使我们可以对照已知的模型对采集和处理方法进行调试测试。
最有趣的是在复杂模型建模过程中得到了许多意料之外的惊喜(Unexpected results),而这些往往是当前行业一些最关心的问题:
l利用交叉扩散滤波抑制相干噪声
l足够检波器对于波场精确采样重要性
l偏移距和方位角对于成像的质量的影响
l不规则盐丘面和盐丘下夹杂物对成像的影响
l单点检波器与阵列检波器的对比
l采集参数对信噪比的影响
A seismic acquisition method that is successful in one area sometimes fails in another, and attempts to fix the problems in processing do not always work. The success in recent years with alternative acquisition schemes has shown the need for ongoing experimentation in acquisition design. However, in 3D seismology, the cost of performing controlled experiments with real data is prohibitive. Also, the time required to do so is excessive; and uncontrollable factors such as weather, currents, and exclusion zones that vary with time can have a large influence on the results. Therefore, instead of comparing multiple methods in the same area, the industry usually tries one thing in one area and another somewhere else. This is certainly a form of experimentation; however, because there are usually so many variables that are different from one area to another it is very difficult to determine the precise consequences of parameter changes. As a result, progress toward better methods is often very slow with this approach.
Seismic modeling provides an alternative means of performing controlled experiments. It allows acquisition and processing methods to be tested against known answers. When we use high-order, finite-difference methods and complex geologic structures for the modeling process, we can obtain very realistic synthetic seismic data. The great pace in the development of wide-azimuth towed streamer and OBS marine survey designs over the last half dozen years has largely been a result of seismic modeling efforts. Modeling methods and computing capability continue to evolve and where we could once do only acoustic modeling we can now do elastic, anisotropic modeling. This has made it possible to study realistic land problems. For example, the unconventional shale model recently developed by the SEG SEAM Phase II consortium contains numerically generated complex stratigraphy and will produce 3D, viscoelastic, anisotropic, shot records containing all the effects of a complex near surface.
Perhaps the most interesting aspects of complex modeling studies are the unexpected results. The most crucial requirement for successful modeling is to make sure the correct physics is contained in the model. Failure to do so can be confusing and frustrating. This lecture will cover the use of seismic modeling to study current problems of interest to the industry and will show a number of these unexpected results. Things such as the effectiveness of cross-spread filtering for coherent noise suppression, the importance of adequate wavefield sampling at the receiver, the effects of offset and azimuth coverage on image quality, the effects of rugose salt surfaces and salt inclusions on subsalt imaging, point receivers versus arrays, and the effect of SNR on sampling requirements can all be studied using modeling. The results are often surprising.
简历
Carl Regone received BS and MS degrees in mathematics and physics from Virginia Tech and Case Western Reserve University and, after working briefly in the defense industry on guided missile technology, he joined the oil industry as a geophysicist. He worked for four years in processing and interpretation, first for Amoco in New Orleans and then with the USGS in Washington, D.C. He then rejoined Amoco at their research center in Tulsa, Oklahoma, where he spent 20 years working on seismic acquisition and imaging problems, primarily focusing on land seismology. For many years he had the luxury of working with Amoco’s research seismic crew and he consulted on seismic data quality problems worldwide for Amoco. An 18-month assignment in London during that period brought exposure to interesting acquisition and imaging problems in Europe and West Africa. During all that time, Carl made use of Amoco’s finite-difference modeling capability to augment real field experiments. With the Amoco merger with BP in 1999, Carl moved to Houston and began to concentrate on deep-water subsalt imaging problems. Modeling work during that period resulted in the development of the wide-azimuth towed-streamer methods for which Carl (along with John Etgen) was awarded the 2008 SEG Virgil Kauffman Gold Medal.
Carl has published and presented widely and has served as an Associate Editor of Geophysics. He retired from BP in 2008 and now works nearly full time as a contractor with them. Recently, Carl has been focusing again on land problems and was the primary builder of the unconventional shale model for the SEG SEAM Phase II consortium.
SEG国际勘探地球物理学家协会
成都理工大学地球物理学院
地球探测与信息技术教育部重点实验室
成都理工大学研究生会
成都理工大学SEG学生分会
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