Ikon Science推出4D反演技术工具


由《油田技术》编辑助理出版


Ikon Science 是地理预测和开放式地下知识管理软件和服务的全球提供商,推出了其 4D 反演技术工具。RokDoc 2023.3 中包含此地震和油井数据调查工具。

随着地下勘探变得越来越复杂,出错的空间越来越小。对于勘探和生产活动,定量解释工作流程不仅必须对特性进行精确预测,还要对不确定性有良好的理解。Ikon 的延时 Ji-Fi 应用程序为生产和注入场景提供完整的 4D 流体跟踪功能,适用于大多数碳氢化合物生产活动以及碳捕获利用和储存 (CCUS) 工作。新应用程序提供工作流程集成,以实现一致的油藏 4D 分析。

随着新的岩石物理模型解锁了更大系列的地质作用和工作流程的功能,捕获压实和粘土演化的额外沙子、页岩和碳酸盐岩石物理模型已添加到 RokDoc 和岩石物理建模函数 (RPML) 库中。此外,用于裂缝密度可行性和预测的新裂隙碳酸盐岩物理模型简化了数据共享以及与地质力学工作流程的集成。

深度 QI 机器学习和岩石物理功能自动化通过 XGBoost 进行了扩展,现在与网格搜索相结合以进行参数调整。这种机器学习属性预测和自动化 RPML 算法得到进一步增强,可以直接校准岩石物理模型中的矿物体积。

在线阅读文章:https://www.oilfieldtechnology.com/exploration/06062023/ikon-science-has-introduced-4d-inversion-technology-tools/

 

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Ikon Science has introduced 4D inversion technology tools

Published by , Editorial Assistant
Oilfield Technology,


Ikon Science, global provider of geo-prediction and open subsurface knowledge management software and services, has introduced its 4D inversion technology tool. This seismic and well data investigation tool is featured in RokDoc 2023.3.

As subsurface exploration becomes increasingly complex, there's less room for error. For exploration and production activities, quantitative interpretation workflows must produce not only a precise prediction of properties but also a good understanding of uncertainties. Ikon’s Time-Lapse Ji-Fi app offers complete 4D fluid tracking capabilities for production and injection scenarios and is applicable in most hydrocarbon production campaigns - and Carbon Capture Utilisation and Storage (CCUS) efforts. The new app provides integration of workflows for a consistent 4D analysis of reservoirs.

As new rock physics models unlock functionality to a larger family of geologic plays and workflows, additional sand, shale and carbonate rock physics models that capture compaction, and clay evolution have been added to the RokDoc and rock physics modelling function (RPML) libraries. Also, a new fractured-carbonate rock physics model for feasibility and prediction of fracture density streamlines data sharing and integration with geomechanics workflows.

Deep QI machine learning and rock physics functions automation is expanded with XGBoost, which is now combined with grid search for parameter tuning. This machine learning property prediction and automated RPML algorithm is further augmented to directly calibrate mineral volumes in rock physics models.

Read the article online at: https://www.oilfieldtechnology.com/exploration/06062023/ikon-science-has-introduced-4d-inversion-technology-tools/

 

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