دورية أكاديمية

Walkaway vertical seismic profiling first-arrival traveltime tomography with velocity structure constraints

التفاصيل البيبلوغرافية
العنوان: Walkaway vertical seismic profiling first-arrival traveltime tomography with velocity structure constraints
المؤلفون: Cai Lu, Chunlong Zhang, Zhibin Zhang
المصدر: Open Geosciences, Vol 15, Iss 1, Pp 2-11 (2023)
بيانات النشر: De Gruyter, 2023.
سنة النشر: 2023
المجموعة: LCC:Geology
مصطلحات موضوعية: constrained inversion, regularization, velocity structure, wvsp, seismic exploration, inversion accuracy, Geology, QE1-996.5
الوصف: Walkaway vertical seismic profiling (WVSP) is known for its high level of credibility in obtaining the relationship between first-arrival traveltime and detector depth through first-arrival picking. This relationship can be utilized for seismic velocity model inversion to improve velocity model accuracy and rationality. Here, we present a WVSP first-arrival velocity model with velocity structure constraints, by utilizing layer and fault data interpreted by ground seismic structure technique. We constructed a geological structure and layer sequence models based on sedimentary patterns to obtain complex velocity structures. Furthermore, we introduced a smooth regularization term based on the velocity structure into the inversion model to enhance its consistency with geological laws and compensate for the reduced inversion accuracy owing to the regularization term based on flat structures. This approach addressed the limitations of the regularization term based on flat structures, resulting in more accurate and reliable inversion results. Through simulation analysis, the proposed method realized the WVSP first-arrival velocity inversion, with results being closer to those of the real velocity model.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2391-5447
Relation: https://doaj.org/toc/2391-5447
DOI: 10.1515/geo-2022-0560
URL الوصول: https://doaj.org/article/a495a9bf97b74b3fbb7286e0628af366
رقم الأكسشن: edsdoj.495a9bf97b74b3fbb7286e0628af366
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:23915447
DOI:10.1515/geo-2022-0560