北马来盆地MTJDA地区高温高压、高CO2-H2S环境下MUFFIN-X评价井成功配管柱测试作业综述

Avidianto Suryo Setiawan, Sippakorn Apiwathanasorn
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引用次数: 0

摘要

本文将分享位于马来西亚-泰国联合开发区(MTJDA)北部的一口评价井MUFFIN-X试井的成功案例。该井于2020年第四季度钻探,并穿透了MTJDA北部的两个断块,以评估该地区,以便进一步进行油田开发研究和建议。测试本身的目的是获取新的数据,以减少地下的不确定性,并释放该地区深层地层的天然气潜力,该地区以其多层储层、高压高温(HPHT)和高CO2-H2S含量而闻名。这些条件是发展该地区的主要挑战。为了应对这些挑战,Carigali-PTTEPI运营公司(CPOC)一直在使用管柱测试(TST)方法,该方法提供了安全的井眼条件和多个储层的多个可达性,操作简单,并进行了真实的生产模拟。MUFFIN-X的TST设计为在24- 36小时内完成每个层的产能和压力瞬态测试。在MUFFIN-X上进行的TST已经成功地从区块的深层地层中释放了2000万立方英尺/天的天然气和5000桶/天的石油潜力。该工作比设计提前16个小时完成,带来了约40K美元的成本优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Overview of Successful Fit to Purpose Tubing Stem Test Operation on MUFFIN-X Appraisal Well to Unlock Gas Potential of Deep Formation with HPHT & High CO2-H2S Environment in MTJDA, North Malay Basin
This paper will share a success story of a well-test operation performed on MUFFIN-X, an appraisal well located at the northern part of the Malaysia-Thailand Joint Development Area (MTJDA). The well was drilled in Q4-2020 and penetrated two fault blocks of northern MTJDA to appraise the area for further field development study and proposal. The objective of the test itself is to acquire new data to reduce the subsurface uncertainties and unlock the gas potential from deep formations of the area, which is well known for its multilayer reservoirs, High Pressure-High Temperature (HPHT), and high CO2-H2S content. These conditions are the key challenges to developing the area. To cope with the challenges, Carigali-PTTEPI Operating Company (CPOC) has been using a Tubing-Stem-Test (TST) approach that provides secured wellbore conditions and multiple accessibilities to multiple reservoirs, straightforward operation, and realistic production simulation. The TST of MUFFIN-X was designed to complete each zone within 24-to-36 hours for deliverability and pressure transient tests. The TST performed on MUFFIN-X has successfully unlocked 20 MMscf/d of gas and 5000 bbl/d of oil potentials from the deep formations of the block. The job was completed 16 hours earlier than the design, bringing approximately 40K USD of cost optimization.
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