Characterization of facies within a hydrocarbon reservoir is essential for potential prospect identification and evaluation. In this paper, we present a practical workflow which integrates post-stack seismic attributes and well-log facies analysis to understand the development and depositional setting of the Triassic age Akekule formation in Tahe field, Northwest China. The workflow begins with sequence and sedimentary cycle analysis on selected benchmark wells. We then identify sand bodies within each sedimentary cycle using well logs. The analysis from well logs and drilling cuttings together illustrate that there exist five sand bodies within the fourth member of Akekule formation. We next predict the horizontal distribution of each sand body based on facies analysis on well logs. We finally perform multiple post-stack seismic attributes analysis to identify seismic facies. The multiattribute analysis is implemented either through co-rendering multiple seismic attributes or neural network clustering on multiple seismic attributes. The lithofacies obtained from seismic attribute analysis is calibrated with facies identified using well logs.
Presentation Date: Wednesday, September 27, 2017
Start Time: 2:15 PM
Location: 350D
Presentation Type: ORAL
