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New data environment influences drilling fluids ecosystem

机译:新数据环境影响钻井液生态系统

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摘要

Fluids optimization and automation are paving the way for the development of a 'fluids ecosystem' as data improves through digital oilfield innovation. In general, the fluids industry has not kept up with the rest of the upstream industry when it comes to automation, digitization, optimization, and prediction. Most fluid property tests (density, rheology, emulsion stability, retort, etc.) still are run manually. Not only do fluids data often suffer from inconsistent quality and insufficient quantity, but the data normally are not integrated with analytical and decision-making tools, work flows, or data from other elements of the drilling operation. As a result, the stakeholders neither fully understand the dynamics of their drilling and completions fluids nor have the ability to make the best decisions possible before and during drilling operations.
机译:随着数字油田创新不断改善数据,流体的优化和自动化为“流体生态系统”的发展铺平了道路。通常,在自动化,数字化,优化和预测方面,流体工业与其他上游工业不同步。大多数流体性能测试(密度,流变性,乳液稳定性,干馏等)仍然是手动运行的。流体数据不仅经常受到质量不一致和数量不足的困扰,而且数据通常不会与分析和决策工具,工作流程或来自钻井作业其他要素的数据集成在一起。结果,利益相关者既不能完全了解其钻井液和完井液的动力学,也无法在钻井操作之前和之中做出最佳决策。

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