薄层储层贡献的再评价:大海豚区综合储层模拟

D. Ryan, Nwenna Crooks-Smith, P. Nurafza, Candice Ogiste, S. Calvert
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引用次数: 1

摘要

Dolphin油田自1996年以来一直在生产天然气,但自油田建立以来,预测储量和产量一直是一个挑战。自开发批准以来,现场估计数据显著增加,这一事实突显出该油田存在一系列地球物理、地质和岩石物理的不确定性。从历史上看,静态体积小于根据物料平衡估算的动态体积。对这种差异的解释传统上与接触深度的不确定性有关(考虑到接触数据最少),这不利于历史模型对产水量的预测。大海豚区(GDA)内的许多储层单元以厘米级极细砂岩、粉砂岩和泥岩的异石器时代三角洲序列为特征。考虑到储层的薄层性质,传统的电缆测井工具缺乏精确解析包括含水饱和度在内的许多静态参数的分辨率。然而,根据现有的PLT数据,人们认为这些薄层层段通常有助于井的产量,从而有助于储层中的流体流动。GDA建立了一个新的静态和动态储层模型,该模型集成了新的地震解释、岩石物理重新表征、修订的地质和储层工程概念,并最终与生产数据进行历史匹配。这个新模型的一个关键组成部分是整合了不同学科之间的建模迭代,从新的岩石物理解释到动态模拟。最初的迭代使用了常规的地层评价方法,结果表明,由于未能捕获薄层层段的流体,压降(与生产数据相比)加速了。另一种岩石物理方法旨在更好地估计薄层层段的含水饱和度,该方法已被纳入新的工作流程中,以考虑薄层体积。新的薄层模拟模型的结果是,薄层层段的气体贡献更大,有助于克服实现压力匹配所需的静态体积的历史不足。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Re-Evaluating Contributions from Thin Bedded Reservoirs: Integrated Reservoir Modelling of the Greater Dolphin Area
The Dolphin Field has been producing gas since 1996, however predicting in place volumes, reserves and forecasting production has been a challenge since field inception. The fact that in place estimates have increased significantly since development sanction highlights that a range of geophysical, geological and petrophysical uncertainties are associated with the field. Historically, static volumes have been smaller than dynamic volumes estimated from material balance. The explanation of this difference traditionally related to uncertainty in contact depth (given the minimal data on contacts), that adversely caused poor predictions of water production in the historical models. Many of the reservoir units within the Greater Dolphin Area (GDA) are characterised by a heterolithic deltaic succession of centimeter scale very-fine sandstone, siltstone and mudstone. Given the thin-bedded nature of the reservoir, conventional wireline-logging tools lack the resolution to accurately resolve many of the static parameters including water saturation. However, based on the available PLT data, it is believed that these thin-bedded intervals generally contribute to the production from the wells and hence to the fluid flow in the reservoir. A new static and dynamic reservoir model of the GDA has been built that integrates and incorporates new seismic interpretation, petrophysical recharacterization, revised geological and reservoir engineering concepts, and eventually history matching to production data. A key component of this new model build has been integrated modelling iterations amongst different disciplines from new petrophysical interpretations through to dynamic simulation. Initial iterations used a conventional formation evaluation method and resulted in simulations that showed accelerated pressure drops (compared to production data) as a result of failure to capture flow from thin-beded intervals. An alternative petrophysical methodology that aims to better estimate water saturation within thin bedded intervals has been incorporated into a new workflow to account for the thin bed volumes. The new thin bed simulation model results in greater gas contributions from the thin-bedded intervals and helps overcome the historical shortage of static volumes required to achieve a pressure match.
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