Mathematical approaches in deriving hydrocarbons expressions from seismic data

Mohammed Farfour, Wang Jung Yoon, Yoon-Geun, Jeong Hwan Lee

نتاج البحث: Conference contribution

ملخص

Defining and understanding hydrocarbon expressions in seismic expression is main concern of geoscientists in oil and gas exploration and production. Over the last decades several mathematical approaches have been developed in this regard. Most of approaches have addressed information in amplitude of seismic data. Recently, more attention has been drawn towards frequency related information in order to extract frequency behaviors of hydrocarbons bearing sediments. Spectrally decomposing seismic data into individual frequencies found to be an excellent tool for investigating geological formations and their pore fluids. To accomplish this, several mathematical approaches have been invoked. Continuous wavelet transform and Short Time Window Fourier transform are widely used techniques for this purpose. This paper gives an overview of some widely used mathematical technique in hydrocarbon reservoir detection and mapping. This is followed by an application on real data from Boonsville field.

اللغة الأصليةEnglish
عنوان منشور المضيفInternational Conference of Numerical Analysis and Applied Mathematics 2015, ICNAAM 2015
المحررونTheodore E. Simos, Theodore E. Simos, Charalambos Tsitouras, Theodore E. Simos
ناشرAmerican Institute of Physics Inc.
رقم المعيار الدولي للكتب (الإلكتروني)9780735413924
المعرِّفات الرقمية للأشياء
حالة النشرPublished - يونيو 8 2016
منشور خارجيًانعم
الحدثInternational Conference of Numerical Analysis and Applied Mathematics 2015, ICNAAM 2015 - Rhodes, Greece
المدة: سبتمبر ٢٣ ٢٠١٥سبتمبر ٢٩ ٢٠١٥

سلسلة المنشورات

الاسمAIP Conference Proceedings
مستوى الصوت1738
رقم المعيار الدولي للدوريات (المطبوع)0094-243X
رقم المعيار الدولي للدوريات (الإلكتروني)1551-7616

Other

OtherInternational Conference of Numerical Analysis and Applied Mathematics 2015, ICNAAM 2015
الدولة/الإقليمGreece
المدينةRhodes
المدة٩/٢٣/١٥٩/٢٩/١٥

ASJC Scopus subject areas

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