A drilling technology guided by well-seismic information integration
| Autor: | Duo Yuan, Xutian Hou, Baoping Lu, Chao Wu |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0211 other engineering and technologies
Energy Engineering and Power Technology 02 engineering and technology 010502 geochemistry & geophysics 01 natural sciences Field (computer science) Wellbore seismic velocity model drilling geological environmental factor Geochemistry and Petrology Seismic velocity ComputingMilieux_COMPUTERSANDEDUCATION 021108 energy geological feature lcsh:Petroleum refining. Petroleum products 0105 earth and related environmental sciences ComputingMethodologies_COMPUTERGRAPHICS Feature (archaeology) Petroleum engineering ComputingMilieux_PERSONALCOMPUTING Drilling InformationSystems_DATABASEMANAGEMENT Geology real time prediction Geotechnical Engineering and Engineering Geology drilling decision optimization lcsh:TP690-692.5 Economic Geology formation ahead of bit Information integration |
| Zdroj: | Petroleum Exploration and Development, Vol 47, Iss 6, Pp 1325-1332 (2020) |
| ISSN: | 1876-3804 |
| Popis: | The predictions by drilling-related mechanical and geological models are in some degree inaccurate due to non-unique solution of seismic velocity model. To address this problem, a new drilling technology guided by well-seismic information integration is proposed which consists of seismic velocity update of drilled formations, seismic velocity prediction of the formation ahead of drilling bit, and the prediction of geological feature and drilling geological environmental factors ahead of bit. In this technology, real information (velocity, formation and depth) behind the drilling bit and local pre-stack seismic data around the wellbore being drilled are used to correct the primitive seismic velocity field for a re-migration of seismic data and to update geological features and drilling geological environmental factors ahead of the drilling bit. Field application shows that this technology can describe and predict the geological features, drilling geological environmental factors and complex drilling problems ahead of the bit timely and improve the prediction efficiency and accuracy greatly. These new updated results are able to provide scientific basis for optimizing drilling decisions. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|