| Author | Chaulwarin Sakulluangaram |
| Call Number | AIT Thesis no.GE-12-07 |
| Subject(s) | Geological modeling--Thailand--Fang Basin
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| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Geotechnical and Earth Resources Engineering with Area of Specialization in Geosystem Exploration and Petroleum Geoengineering, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. GE-12-07 |
| Abstract | Oil has been produced in the Fang basin for over 50 years, mainly from the Central Fang. Recently the E&P activities have been expanded to new areas, including the South Fang sub - basin with the newly - acquired 3D seismic data. The objective of this study is to find out an integrated approach to create petrophysical model of Miocene sand, a potential oil reservoir, in Mae Sod formation using Sequential Indicator Simulation to determine the facies distribution and Sequential Gaussian Simulation to determine the porosity distribution, respectively. Well log and 3D seismic data were integrated to achieve the study objective. There were drilled 4 wells in the study area, but only two were used in well log analysis because availability of logging data. 3D seismic data were used to interpret faults and horizons. As the well log data are of old type on paper records, digitizing was made using MatLab. An ANN analysis is to be done in well A to reconstruct the missing curve (resistivity) for the scope of well correlation. However, the obtained resistivity of well A was not able to distinguish the potential zone. It is also worth noting that ANN was applied to reconstruct the missing resistivity log curve. Quick look analysis of well log data was then carried out to identify the sand and shale layer, estimate porosity and water saturation for the potential reservoir zones (sand and shaly sand zone). Based on the well log curves (both original and reconstructed) and cutting, the Miocene sand was selected for porosity modeling. In this study three kinds of well correlations were attempted, i.e., i) based on the depth matching; ii) based on a relative analogy/similarity of well logs response (with consideration of possible fault effect); and iii) based on the reflector as identified in seismic interpretation. The formation was divided into 7 zones, but only 4 zones show high resistivity. Zone 3 was chosen to be modeled with the correlation based on the reflectors. The other correlation methods for zone 3 may not be useful because of the complex fault box. Facies model consists of sand and shale used to control the upper and lower limit of porosity with respect to their facies. The result of porosity model lines along NW - SE direction with the value of mean closes to the original porosity from well logs |
| Year | 2013 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. GE-12-07 |
| 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;Pinan Dawkrajai; |
| Scholarship Donor(s) | Thailand (HM King); |
| Degree | Thesis (M. Eng.) - Asian Institute of Technology, 2013 |