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بهبود کیفیت نشانگر پراشندگی برای تصویرسازی گسلها با استفاده از تابع شباهت محلی اریب در حوزه پسبرانباشت | ||
| فیزیک زمین و فضا | ||
| مقاله 1، دوره 48، شماره 2، شهریور 1401، صفحه 243-260 اصل مقاله (5.93 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22059/jesphys.2022.326374.1007334 | ||
| نویسندگان | ||
| محمد حسینی1؛ حمیدرضا سیاه‌کوهی* 2 | ||
| 1دانشجوی دکتری، دانشگاه آزاد اسلامی، واحد علوم و تحقیقات، تهران، ایران | ||
| 2استاد، گروه فیزیک زمین، مؤسسه ژئوفیزیک، دانشگاه تهران، تهران، ایران | ||
| چکیده | ||
| پراشها اطلاعات مفیدی را درباره عارضههای زمین‌شناختی زیرسطحی مانند گسلها، ناپیوستگیها، چین‌خوردگیها و مانند آنها ارائه میدهند. در مطالعه گسلها برگشتگی قطبایی موجهای پراشیده از لبه گسلها یک چالش بزرگ بهشمار میرود. در دهههای اخیر چندین روش در حوزههای پیش و پسبرانباشت برای تعیین ویژگیها و محل پراشها ارائه شده است ولی بیشتر آنها در مواجهه با برگشتگی قطبایی امواج پراشیده از لبه گسلها، توانایی کافی برای آشکارسازی پراشها را ندارند. روشهای تابع شباهت و مهاجرت کرشهف بهعنوان دو روش مرسوم، بدون در نظر گرفتن برگشتگی قطبایی، برای تصویرسازی پراشهای منتشرشده از لبه گسلها دچار مشکل می‌شوند. در این مقاله دو راهکار برای بهبود کیفیت نشانگر پراشندگی معرفی میشود که حضور برگشتگی قطبایی تأثیری در کارایی آن ندارد. در راهکار ارائه شده برای برطرف کردن مشکل برگشتگی قطبایی، خم برون‌راند پراش به چند گروه تقسیم و سپس تابع شباهت بهصورت محلی برای هر کدام از این گروهها محاسبه میشود. تابع شباهتی محلی به‌کار رفته در این تحقیق، زمانسیر امواج پراشیده را از معادله ریشه دوم دوگانه بهدست می‌آورد. همچنین روشی برای بهبود بیشتر تصویر چشمههای پراش استفاده میشود که با به‌کارگیری پنجره اریب در آن، بهنوعی تابع شباهت محلی را بهصورت تابعی از زمان وزندار میکند. کارایی روش تابع شباهت محلی با استفاده از وزندهی پنجره اریب و بدون آن بر روی دادههای لرزهای مصنوعی و واقعی بدون اعمال هیچگونه تصحیح قطبایی بررسی شده که نتایج حاکی از کانونش و تفکیکپذیری بهتر پراشها در لبه گسلها است. | ||
| کلیدواژه‌ها | ||
| آشکارسازی گسل؛ تصویرسازی پراش؛ برگشتگی قطبایی؛ تابع شباهت محلی؛ پنجره اریب؛ نشانگر پراشندگی | ||
| عنوان مقاله [English] | ||
| Improving diffractivity attribute to image faults using tapered local semblance in post-stack domain | ||
| نویسندگان [English] | ||
| Mohammad Hosseini1؛ Hamid Reza Siahkoohi2 | ||
| 1Ph.D. Student, Islamic Azad University, Science and Research Branch, Tehran, Iran | ||
| 2Professor, Department of Earth Physics, Institute of Geophysics, University of Tehran, Tehran, Iran | ||
| چکیده [English] | ||
| Diffractions carry useful and important information about subsurface features such as unconformities, faults, pinch-out, and so on. On the other hand, most of the information is encoded in diffractions. Polarity reversal across diffraction move out curves that are generated from fault’s edges, is a great challenge in seismic diffraction imaging. For the last few decades, several conventional methods in the pre-and post-stack domains, have been carried out for the diffractions characteristics and their locations. But most of these methods were not able to deal with the polarity reversal for diffraction imaging, some of them were time consuming, and needed to have some correction to deal with polarity changes, especially in diffraction caused by fault’s edges. Despite a large amount of research that has been carried out on diffraction imaging, very few studies have been devoted to the challenge of the polarity reversal across move out surfaces. We used the semblance function along with the hyperbolic move out curves for the diffractions that their travel times have been calculated using the double-square-root equation. As we know, using both semblance and Kirchhoff migration for diffraction imaging from fault’s edges, without which taking the polarity reversal into account would fail. This is caused by presence of same number of positive and negative wavelets in the diffraction move out curves. For solving this problem, we divided the global scanning window along hyperbolic move out surfaces into several subdivided window and the local semblance measurements over the sub-windows were performed separately. Every point in image domain is considered as a diffraction point that we call this points as image points. The final semblance measure at each image point is calculated by averaging the semblance measurements from sub-divided smaller windows. We also contaminated the synthetic data with white Gaussian noise, having different signal to noise ratios. Results showed no significant differences due to the fact that random arrivals in seismic data do not influence the semblance measurement. In next step to improve the diffraction imaging, we used tapered local semblance due to interference of diffractions with dominated reflection waves, other data and even other diffractions, especially at far offsets from diffraction’s apex. We called the proposed method as tapered local semblance method. The method weights the data from top to the bottom along the time axis, we also use less number of traces at shallow parts and more traces at deeper parts to reduce the harming effect of the interference. To coup with this task, we introduced a triangle taper to take few number of traces at the early arrival parts and more traces at the late arrival parts, instead of using a box with constant number of traces in the apertures from top to the bottom of the window. We tested several tapers with different angles of apex to determine the optimum one. We evaluated both methods on synthetic data as well as field recorded dataset. Both methods required no polarity reversal corrections to be applied. The obtained results showed the ability of our workflow to having higher resolution and good localization for diffractions from fault’s edges in synthetic data. The results obtained from using the tapered local semblance method on field recorded dataset showed more diffractivity than local semblance method. | ||
| کلیدواژه‌ها [English] | ||
| Fault detection, diffraction imaging, polarity reversal, tapered local semblance, tapered aperture, diffractivity attribute | ||
| مراجع | ||
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