کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4739981 1641138 2015 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Radon transform-based microseismic event detection and signal-to-noise ratio enhancement
ترجمه فارسی عنوان
تشخیص رویداد میکروسیممیک مبتنی بر تبدیل رادون و افزایش نسبت سیگنال به نویز
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات فیزیک زمین (ژئو فیزیک)
چکیده انگلیسی


• We present an adaptive filtering method to denoise downhole microseismic data.
• The methodology uses the apex-shifted parabolic Radon transform.
• The algorithm detects the presence of an event automatically and then enhances the recorded signal.
• We use synthetic and field datasets recorded with a vertical array of receivers to test the algorithm.
• The method performs rapidly and efficiently making it suitable for real-time monitoring.

We present an adaptive filtering method to denoise downhole microseismic data. The methodology uses the apex-shifted parabolic Radon transform. The algorithm is implemented in two steps. In the first step we apply the apex-shifted parabolic Radon transform to the normalized root mean square envelope of the microseismic data to detect the presence of an event. The Radon coefficients are efficiently calculated by restricting the integration paths of the Radon operator. In a second stage, a new (preconditioned) Radon transform is applied to individual components to enhance the recorded signal. The denoising is posed as an inverse problem preconditioned by the Radon coefficients obtained in the previous step. The algorithm was tested with synthetic and field datasets that were recorded with a vertical array of receivers. The method performs rapidly due to the parabolic approximation making it suitable for real-time monitoring. The P– and S–wave direct arrivals are properly denoised for high to moderate signal-to-noise ratio records.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Applied Geophysics - Volume 113, February 2015, Pages 51–63
نویسندگان
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