The decision to drill a development well in a structurally complex area can be a difficult one. This paper shows an example of how the critical analysis of previous interpretations was done to re-assess reservoir quality. Core data and log-derived petrophysical properties suggested an infill well will likely have low productivity index. However, classical analysis of pressure and dynamic data showed that these previous reservoir assumptions were pessimistic, and subsequently led to the successful drilling and completion of a development oil well in the Nose area of the Chirag field in Azerbaijan.

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Integration of field surveillance data is important to understand reservoir description and dynamics particularly for waterflood schemes in which injector-producer connectivity is necessary for the expected oil recovery improvement. This paper shows an example of integration of DTS with other surveillance data to optimise the placement of a water injector in the complex northern part of the Deep Water Gunashli (DWG) field, Azerbaijan. Some of the dynamic data responses and trends were inconclusive but Distributed Temperature Sensor (DTS) evidence from two wells were instrumental in showing good pressure communication within the complex north-flank area, and water injection in the lower sands only.