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Accueil du site → Master → Arabie Saoudite → SAND DUNE STATIC DELAY : A DATA DRIVEN APPROACH AND ADJUSTMENT OF THE SAND CURVE

King Fahd University of Petroleum and Minerals. (KFUPM) 2022

SAND DUNE STATIC DELAY : A DATA DRIVEN APPROACH AND ADJUSTMENT OF THE SAND CURVE

AL JISHI ALI

Titre : SAND DUNE STATIC DELAY : A DATA DRIVEN APPROACH AND ADJUSTMENT OF THE SAND CURVE

Auteur : AL JISHI ALI

Université de soutenance : King Fahd University of Petroleum and Minerals. (KFUPM)

Grade : Master thesis 2022

Résumé
Sand dune environments pose logistical challenges to seismic data acquisition and processing. The Rub-AlKhali of Saudi Arabia and Taklimakan of China are two desert regions where the first has the sand dunes interleaved by sabkha (salt flat) environment. Such environments present a range of complications from amplitude variation and surface multiples to near-surface static issues. Different methods have been suggested to address such near-surface static problems. Many of the methods would resolve the first-order effect in certain conditions ; however, they fail to give proper solutions in other areas. In this work, I offer a data-driven near-surface static solution. Unlike other methods, which require prior knowledge of the sand thickness, porosity, water saturation, or the existence of a smooth base of sand, the suggested method does not require any prior knowledge. Nonetheless, if available, they will aid in the assessment of the near-surface static solution from the technique I am proposing. The technique does not suffer from any source of error in the assumptions made in previously suggested empirical formulas. I generate an area-specific polynomial relation of thickness as a function of static delay times.

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Page publiée le 18 janvier 2023