| Author | Surapol Praditthao |
| Call Number | AIT Thesis no.GE-07-09 |
| Subject(s) | Geophysical well logging--Thailand, Gulf of
|
| Note | A thesis proposal submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. GE-07-09 |
| Abstract | The geopressure can cause a lot of damages during the drilling operation. There have not been many studies on this topic in for the Gulf of Thailand. Determination of geopressure can be done by many methods, but at the early stage of the project with a little information the most suitable method is a combination of seismic and logging data. This study adopted an approach of geopressure prediction based on Eaton empirical model, which requires velocity model from seismic data and normal compacted trend of density and velocity from logging data. The velocity models of seismic data were extracted by using seismic processing software, VISTA. 17 seismic survey lines were processed in this study. There is one well in the location of study that contains logging data. The normal compacted trend for density was constructed from RHOB logging data. There are 2 trends constructed, by curve fitting of the whole data range and of two separated groups of data with two different slopes. There were considered 3 normal compacted trends for velocity. First trend was constructed from typical seismic velocity model. The other two trends were constructed from sonic logging. The normal compacted trends for velocity from logging data were also constructed by curve fitting of the whole data range and of two separated groups of data having two different slopes. Use of different normal compacted trends resulted into 3 cases of pressure prediction, i.e.: (i) normal compacted trend for density from a single fitting of the whole set of data together with velocity trend from seismic data; (ii) normal compacted trend for density from fitting of two separated groups of data having two different slopes with the velocity trend from whole set of sonic velocity data, (iii) normal compacted trends for both density and velocity resulted from fitting of two separate data groups. The third case of density trend and velocity trend combination shows the most reasonable result of pressure prediction. The geoperssure zone was found in this study at the depth from 5000m to 7000m, mostly at the north to northeast of the area. It is recommended more researches on geopressure be done for the oil fields in the Gulf of Thailand, using more deep geological and well logging data. Other approaches of geopressure prediction should be explored and applied |
| Year | 2008 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. GE-07-09 |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Department of Civil and Infrastucture Engineering (DCIE) |
| Academic Program/FoS | Geotechnical Engineering (GE) |
| Chairperson(s) | Pham Huy Giao; |
| Examination Committee(s) | Noppadol Phien-wej;Park, Kyung-Ho; |
| Scholarship Donor(s) | Asian Institute of Technology Fellowship; |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 2007 |