Probabilistic Assessment of Pressure Depletion and Inflation and its Impacton the Drilling Sequence for the Sangomar Field, Senega

摘要

The Sangomar Field Development – Phase1, located offshore Senegal, will consist of 23 wells targetingstacked reservoirs, with horizontal lengths up to 1,500m. Due to the long drilling campaign, wells are likelyto be drilled after first production, targeted for 2023. At the time of drilling, reservoir pressure in these wellswill be affected by nearby producers and injectors, which will reduce the mud window in the boreholes,affecting the drillability. Vulnerable wells are identified by a deterministic borehole stability assessment based on mud weightwindows and a probabilistic well-by-well analysis of reservoir pressure at the time of drilling. The estimatedmud weight windows are unique to each well and a function of completion type, overburden thickness andwell azimuth. Capturing reservoir uncertainties within the uncertainty framework results in 216 modelswhich are reduced to a more manageable 20 models for simulation using a distance-based K-medoidalgorithm. Maps of maximum depletion and inflation are generated for each of the medoids. With this work, the importance of probabilistically assessing reservoir pressures is demonstrated inthe context of developing a robust drilling sequence, highlighting that results can vary significantlydepending on the reservoir models used. Potential magnitudes of depletion and inflation in some scenariosare significantly greater than initially anticipated. The combination of borehole stability assessment andprobabilistic well-by-well analysis of reservoir pressure allows clear identification of wells at increasedrisk of borehole stability problems caused by injection or depletion. Subsequently, the drilling sequence isupdated to mitigate borehole stability risks by executing potential problem wells prior to first productionand prioritising key water injectors, enabling management of post-production depletion while continuingto meet the other objectives such as maximising early production potential. This paper outlines an innovative workflow which captures the range of subsurface uncertainties to defineprobabilistic impact of depletion and injection on borehole stability. Within the literature we have not seenany examples of depletion and inflation being assessed probabilistically on multiple models or using a map-based format. Depletion and inflation are also often discussed in the context of producing fields, not duringthe first phase of drilling, as is the case for the Sangomar Field.