迄今为止，对于哥伦比亚主要稠油油田 Rubiales 来说，在地下不确定性下进行油田开发优化的完全集成油藏建模一直是一项重大挑战，其原始石油储量超过 50 亿 STB。开发了自动油藏表征工作流程，以在现场和油井层面生成多个历史匹配模型。所开发的方法和工作流程成功地在地下不确定性下进行了现场开发评估。该工作流程设计适用于具有相似特征和交付目标的其他领域。
Rubiales油田位于盖特谩港东南部，距离波哥大约310公里。就扩展规模、原始产量和产量而言，它是哥伦比亚最重要的油田，也是该国最复杂的油田之一，面临各种技术挑战。从岩性上看，该油田是一个松散砂岩油藏，地层复杂，纵向和横向非均质性很高。
Fully integrated reservoir modeling for field-development optimization under subsurface uncertainty has been a major challenge so far for Rubiales, a major heavy oil field in Colombia with original oil in place of greater than 5 billion STB. An automated reservoir characterization work flow was developed to generate multiple history-matched models on the field and well level. The developed methodology and work flow successfully delivered field-development evaluation under subsurface uncertainty. The work-flow design is applicable for other fields with similar characteristics and delivery objectives.
The Rubiales field is in the southeast of Puerto Gaitán, approximately 310 km from Bogotá. It is the most important oil field in Colombia in terms of extension, original volumes, and production but also is one of the country’s most complex fields, with a variety of technical challenges. Lithologically, the field is an unconsolidated sandstone reservoir with stratigraphic complexity that includes a high degree of vertical and lateral heterogeneity.
