Investigating formation water variability in the Búzios oilfield (Santos Basin) using cluster analysis and hydrogeochemical modeling

Felipe Ferreira Luiz Gorla , Jordão Douglas de Lima Nogueira , Saulo Bortolini dos Santos , Rosane Alves Fontes , Luiz Alexandre Sacorague , André Henrique , Rafaella Magliano Balbi de Faria , Valtair Marcos Cristante , Cleyton de Carvalho Carneiro , Rodrigo César Teixeira de Gouvêa , Henrique Luiz de Barros Penteado
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Abstract

The characteristics of formation waters play a crucial role in production development projects within Pre-Salt oil fields in the Santos Basin, offshore southeastern Brazil. This study investigated the compositional variations of brines of the Búzios Field (northeast of the Santos Basin), proposing for the first time an extensive hydrochemical mapping of the Pre-Salt aquifers and identifying nuances of connectivity. A comprehensive methodology was employed, including analysis of pressure gradients, cluster analysis, and hydrogeochemical modeling to classify different types of brine and understand their behavior under reservoir conditions. A hydrochemical classification routine was applied to 129 formation water samples, identifying seven distinct clusters using the unsupervised k-means algorithm. This clustering process efficiently differentiated representative, non-representative, and contaminated samples. The hydrochemical composition of the formation waters varied among the four hydraulic compartments identified in the field, with their boundaries defined by permeability barriers. Compared with the central portion of the field (regional aquifer), where salinities predominantly range from 155,000 to 185,000 mg/L of NaCl, enrichment of specific ions was observed at the field's extremities, such as boron (northeast), barium and lithium (north), and bicarbonate (west). These hydrochemical differences lead the brine salinities at the field's extremities to exceed 225,000 mg/L of NaCl. Hydrogeochemical modeling provided insights into the pH levels of each brine under reservoir conditions, showing a decrease of between 23 and 32% compared to surface pH values. The speciation analysis showed positive strontianite and barite saturation indices in certain types of formation water, indicating potential precipitation. These areas are considered critical for inorganic scaling in production equipment.
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利用聚类分析和水文地质化学模型调查布齐奥斯油田(桑托斯盆地)的地层水变异性
地层水的特征在巴西东南部近海桑托斯盆地盐前油田的生产开发项目中起着至关重要的作用。本研究调查了布齐奥斯油田(桑托斯盆地东北部)卤水的成分变化,首次提出了盐前含水层的广泛水化学绘图,并确定了连接性的细微差别。研究采用了一种综合方法,包括压力梯度分析、聚类分析和水文地球化学建模,对不同类型的卤水进行分类,并了解它们在储层条件下的行为。对 129 个地层水样本进行了水化学分类,使用无监督 k-means 算法识别出七个不同的聚类。该聚类过程可有效区分代表性样本、非代表性样本和污染样本。地层水的水化学成分在油田确定的四个水力区块中各不相同,其边界由渗透障碍确定。油田中部(区域含水层)的盐度主要介于 155,000 至 185,000 毫克/升的氯化钠之间,与此相比,在油田的两端观察到特定离子的富集,如硼(东北部)、钡和锂(北部)以及碳酸氢盐(西部)。这些水化学差异导致油气田最北端的盐水含盐量超过 225,000 毫克/升的氯化钠。水文地质化学模型提供了在储层条件下每种盐水的 pH 值,与地表 pH 值相比,pH 值下降了 23% 至 32%。标样分析表明,在某些类型的地层水中,锶铁矿和重晶石饱和度指数呈正值,表明可能存在沉淀。这些区域被认为是生产设备无机结垢的关键区域。
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