哈里伯顿和马来西亚国家石油公司将部署下一代地下建模和油藏管理解决方案


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哈里伯顿宣布与马来西亚国家石油勘探有限公司 (PETRONAS Carigali Sdn. Bhd.) 建立战略合作,以推进地下建模和油藏管理。作为合作的一部分,马来西亚国家石油勘探有限公司将部署哈里伯顿 Landmark 的 DecisionSpace® 365 Geosciences Suite 和 Unified Ensemble Modelling 解决方案,旨在统一勘探和开发工作流程,加快首次采油速度。

哈里伯顿和马来西亚国家石油公司将部署下一代地下建模和油藏管理解决方案

哈里伯顿 Landmark 的下一代可扩展地球建模和集成工作流程源自传统的基于网格的建模和确定性储层预测。这些技术旨在使 PETRONAS Carigali Sdn. Bhd. 的勘探和资产团队能够使用统一的实时地球模型进行实时协作,从而通过集成建模实现更精确的储量估算。

Geosciences Suite 可扩展的地球建模功能可在所有尺度(从盆地全景到单个油田)保持地质保真度,从而确保从勘探到开发过程中数据和模型的一致性。这种集成式工作流程通过前端加载流程支持更快的项目成熟。使用统一集成建模解决方案,资产团队可以自动生成多个概率地质场景,同时集成实时油藏流动数据。这种方法旨在提高预测精度,加速场景分析,并增强决策信心。

“我们通过成熟的差异化技术革新地下建模,以应对独特的挑战。当我们联合勘探和开发团队时,我们能够帮助客户更快地获得回报,并最大化资产价值。” Landmark Software and Services 高级副总裁 Tony Antoun 表示。

马来西亚资产高级副总裁兼 PETRONAS Carigali Sdn. Bhd. 首席执行官 Hazli Sham Kassim 表示:“在勘探和开发阶段,以单一活地球模型为基础的协调、人工智能辅助工作流程是我们实现雄心勃勃的项目交付目标的战略核心。”

马来西亚国家石油公司勘探副总裁 Ahmad Faisal Bakar 补充道,“采用 DecisionSpace® 365 Geosciences Suite 和 Unified Ensemble Modelling 解决方案符合马来西亚国家石油公司的愿景,即加快我们的项目交付并确保从勘探到开发和生产的无缝连续性。”

此次合作是对马来西亚国家石油公司(PETRONAS)的新建油田和成熟油藏实践进行全面基准测试后进行的。新方法将结合多场景概率模型,并由人工智能和机器学习提供支持,旨在提高效率和洞察力。

 

 

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Halliburton and PETRONAS to deploy next generation subsurface modelling and reservoir management solutions

Published by , Editorial Assistant
Oilfield Technology,


Halliburton has announced a strategic collaboration with PETRONAS Carigali Sdn. Bhd. to advance subsurface modelling and reservoir management. As part of the collaboration, PETRONAS Carigali Sdn. Bhd. will deploy Halliburton Landmark’s DecisionSpace® 365 Geosciences Suite and Unified Ensemble Modelling solutions with the objective to unify exploration and development workflows and accelerate time to first oil.

Halliburton and PETRONAS to deploy next generation subsurface modelling and reservoir management solutions

Halliburton Landmark’s next-generation scalable earth modelling and ensemble workflows evolved from traditional grid-based modelling and deterministic reservoir forecasting. These technologies are intended to enable PETRONAS Carigali Sdn. Bhd. exploration and asset teams to collaborate in real time using a unified live earth model, with the aim of achieving more accurate reserve estimations through ensemble modelling.

The Geosciences Suite’s scalable earth modelling maintains geological fidelity across all scales – from basin-wide views to individual fields – to ensure consistent data and models flow from exploration to development. This integrated workflow supports faster project maturation through the Front-End Loading process. Using the Unified Ensemble Modelling solution, asset teams can automate the generation of multiple probabilistic geological scenarios while integrating real-time reservoir flow data. This approach is designed to enhance forecast precision, accelerate scenario analysis, and improve confidence in decision-making.

“We transform subsurface modelling through proven differentiated technologies to solve unique challenges. When we unite exploration and development teams, we help our customers generate returns faster and maximise asset value.” Tony Antoun, senior vice president, Landmark Software and Services.

“A harmonised, AI assisted workflow anchored on a single live-earth model across the exploration and development phases is central to our strategy in achieving our ambitious project delivery targets,” said Hazli Sham Kassim, Senior Vice President of Malaysia Asset and CEO of PETRONAS Carigali Sdn. Bhd.

PETRONAS Vice President of Exploration, Ahmad Faisal Bakar, added, “Adopting DecisionSpace® 365 Geosciences Suite and Unified Ensemble Modelling solutions aligns with PETRONAS’ vision to accelerate our project deliveries and ensure seamless continuity from exploration through development and production”.

This collaboration follows a comprehensive benchmarking of PETRONAS’ greenfield and mature reservoir practices. The new approach will incorporate multi-scenario probabilistic modelling, supported by AI and machine learning, envisioned to drive greater efficiency and insight.

 

 

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