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Automated Technical Workflow for Smart PVT Program Design and Quality Control for Efficient Fluid Characterization

机译:用于智能PVT程序设计和质量控制的自动技术工作流程,以实现高效的流体表征

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PVT data is critical for fluid characterization and EOS modelling, which in turn is the key to estimate the initial hydrocarbon volumes in place, predicting reservoir dynamic behavior and production forecasting. Hence, ADCO gives high importance to have well distributed and high quality PVT data across its different reservoirs. There are various parties involved in planning and execution of PVT studies. There have been problems associated with PVT studies workflow such as poor scope of work, data quality issues, lost historical PVT data that affects the fluid characterization and EOS modelling. In addition, there are inefficiencies due to lack of coordination amongst various activities and parties involved in the PVT studies workflow. In this regard, ADCO embarked on standardizing and automating the entire process from PVT analysis requisition through technical data validation and archiving towards building an integrated PVT e-catalog. In our previous SPE paper (SPE-172832) we discussed our challenges, implementation strategy, and functional design phase of the project including the roadmap. In this paper discussed the progress and achievements made by ADCO towards establishing PVT intelligence Solution and integrated PVT e-catalog. The Solution enables the users to efficiently design, PVT analysis and sampling programs for a variety of fluids types and different studies such as routine, enhanced oil recovery studies, asphalltene studies. It also enables the user to perform consistent and standard validation for the PVT data during project execution The standard scope of work for various PVT studies is predefined based on the industry standards and well defined business logic. The workflow intelligently guides the users to build the right scope of work for PVT analysis and sampling based on the business objectives and reservoir information. The solution has functionality to technically validate the data delivered by the contractors in stages through approval workflows. This is done through a smart quality control tools which is supported by business rules for various tests that enables a semi-automatic quality control for the measured PVT properties. Finally the workflow enables the users to systematically archive quality data in an integrated PVT e-catalog. The e- catalog comprise of PVT database and functionalities for quick search of PVT data across ADCO fields and reservoirs. PVT intelligence enables the users to quickly and independently create high quality PVT sampling and analysis Scope of Work through an automated workflow. The workflow reduces the user effort and uncertainty in manual quality control for the data delivered by the laboratories and resolve data anomalies at the right time. The intelligent functionalities shall improve the quality of the PVT e-catalog which in turn enables better engineering models and calculations for Efficient Fluid Characterization.
机译:PVT数据对于流体表征和EOS建模至关重要,这反过来是估计初始碳氢化合物体积的关键,预测储层动态行为和生产预测。因此,ADCO高度重视其在其不同的水库上具有良好的分布式和高质量的PVT数据。有各方参与PVT研究的规划和执行。与PVT研究工作流程有关的问题,如工作范围差,数据质量问题,丢失影响流体表征和EOS造型的历史PVT数据。此外,由于PVT研究工作流程中的各种活动和各方之间缺乏协调,由于缺乏协调,存在效率低效应。在这方面,ADCO通过技术数据验证和建设集成的PVT电子目录归档,从PVT分析申请中开始标准化和自动化整个过程。在我们以前的SPE纸张(SPE-172832)中,我们讨论了项目的挑战,实施策略和功能设计阶段,包括路线图。本文讨论了ADCO对建立PVT智能解决方案和集成PVT电子目录的进展和成就。该解决方案使用户能够有效地设计,用于各种流体类型和不同研究的PVT分析和取样程序,例如常规,增强的采油研究,沥青研究。它还使用户能够在项目执行期间对PVT数据执行一致和标准验证,这是根据行业标准和定义的业务逻辑的各种PVT研究的标准工作范围。工作流程智能地指导用户根据业务目标和库信息构建PVT分析和采样的正确工作范围。该解决方案通过批准工作流程技术验证承包商在阶段中提供的数据。这是通过智能质量控制工具来完成的,这些工具由业务规则支持各种测试,该测试为测量的PVT属性提供半自动质量控制。最后,工作流使用户能够在集成的PVT电子目录中系统地归档质量数据。电子目录包括PVT数据库和功能,以便在ADCO字段和储库中快速搜索PVT数据。 PVT智能使用户能够快速,独立地通过自动工作流快速且独立地创建高质量的PVT采样和分析范围。工作流程减少了在实验室提供的数据的手动质量控制中的用户努力和不确定性,并在合适的时间解决数据异常。智能功能应提高PVT电子目录的质量,又能够实现更好的工程模型和计算,以便有效的流体表征。

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