J. V. L. Boing, A. Soares, B. M. Bazzo, D. F. Bettú, L. F. B. Oliveira, P. Soares
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引用次数: 1
摘要
在深水油藏中，由于数据的限制，预测沉积体的几何形状和相分布的效率很低。地层正演模拟(SFM)是一种替代的地质模拟方法。高不确定性与输入参数的定义和SFM模型的校准有关。本研究通过进行SFM多实现，评估了Morro do Chaves组(Sergipe/Alagoas盆地)模型的响应和各自的灵敏度。这些评估允许评估和减少不确定性，以定义能够生成更适合观测数据的模型的输入参数。
IMPACT ASSESSMENT AND INPUT PARAMETERS SELECTION FOR STRATIGRAPHIC FORWARD MODELLING (SFM)
In deep-water reservoirs, predicting geometry of sedimentary bodies and distribution of facies become inefficient due to data limitations. Stratigraphic forward modelling (SFM) appears as an alternate geological modelling method. High uncertainty is related to definition of input parameters and calibration of the SFM models. This study assesses responses and respective sensitivities of models from the Morro do Chaves Formation (Sergipe/Alagoas Basin) by carrying out SFM multi-realizations. These assessments allow the evaluation and reduction of uncertainties to define input parameters capable of generating models more suitable to the data observed.
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