Combination of Well Logging with Seismic Data in the
Identification and Prediction of Fracture and Caves

doi:10.11885/j.issn.1674-5086.2012.11.27.01

Abstract

Abstract:

Aimed at the difficulty to predict and identify the fractured and cavernous carbonate reservoir distribution of A Area in Tarim Basin. In this paper，we carried out the identifying and predicting research of the fracture and cave for the carbonate reservoir by means of the core data，formation image logging data and seismic data in this area. Based on the caves forward modeling，we found that the fractured and cavernous carbonate reservoir is characteristic of moniliform with strong brachyaxis reflection of two peaks and one trough or disconnected reflection from seismic section，and corresponds to the well logging curves，and shows a typical abnormal characteristic with double tracks on resistivity curve. As for the images of the FMI logging，there are obvious sinusoid curve or dark plaques. Based on the advanced Sobel edge detection method，the integrated well logging with seismic data is used to characterize fractures and caves in this area. The results show that caves are located around the pinchout line in the north of this area，with the feature of partitioning continuous distribution and rarely exists in the south of the area. The fractures are mainly distributed near the fault in the south of this area. This result matches with FMI data and is confirmed by the latest production data in this area.

Key words: seismic, fracture prediction, integrated well and seismic, FMI logging, moniliform

Lang Xiaoling1, Guo Zhaojie1, Liu Hongqi2. Combination of Well Logging with Seismic Data in the Identification and Prediction of Fracture and Caves[J]. 西南石油大学学报(自然科学版), DOI: 10.11885/j.issn.1674-5086.2012.11.27.01.

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Combination of Well Logging with Seismic Data in the Identification and Prediction of Fracture and Caves

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