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Abstract Sisi Nubi field is a mature offshore gas field situated in the Mahakam Delta, East Kalimantan, Indonesia. It has been producing approximately 1.45 trillion cubic feet (Tcf) of gas and 35 million stock tank barrels (MMstb) of condensate from 99 development wells across seven offshore production platforms. The reservoir is stratigraphically divided into three main zones: Shallow Zone (SZ), Fresh Water Sand (FWS), and Sisi Nubi Main Zone (SMZ). The current development focus is primarily on the Shallow Zone and Fresh Water Sand Zone, due to their favorable reservoir productivity, mainly composed of unconsolidated fluvial and distributary channel-type formations. In contrast, the SMZ consists of consolidated stacked offshore bars, some of which are highly bioturbated. As a result, the productivity in this zone is generally lower through regular production methods. Production from the SMZ primarily relies on previous fracturing jobs, with a success ratio of approximately 50%. Notably, one of the fracturing jobs took place in well SS-106, resulting in an incremental gain of approximately 40 billion cubic feet (Bcf) of gas. Fracturing in well SS-106 involved lateral and vertical fracturing through shale breaks. This paper aims to share the success story of fracturing jobs in Sisi Nubi and explore how seismic analysis can aid in identifying potential fracturing well candidates for the SMZ, thereby increasing the success rate and optimizing production. Previous development studies of the SMZ mainly relied on static dynamic analysis and geomodelling approaches, resulting in a limited number of wells penetrating the SMZ. Consequently, the identification of ideal fracturing candidates was limited. Therefore, leveraging seismic data within this zone becomes crucial to improve opportunities. The analysis began by studying the relationship between seismic anomalies and geological parameters such as geological layering, netsand and netpay thickness. Consequently, the SMZ was subdivided into four subzones based on geology and seismic resolution. Extracted seismic bright anomaly that corresponds to series of stacked bars, having a consistency with successful fracturing jobs while unsuccessful ones were outside bright seismic anomaly. Implementing seismic and data-driven analytics in deeper zones like the SMZ introduces a new practice in the Mahakam region. This approach allows for the identification of optimal reservoirs for fracturing, resulting in an improved success rate, increased production, and enhanced recovery from the SMZ.
Sjahbunan et al. (Thu,) studied this question.