首页> 外文期刊>The APPEA Journal >IMAGING ADDITIONAL OIL AND GAS RESERVES, INTEGRATING WELL PRODUCTION DATA AND 3D SEISMIC AVO CLASSIFICATION TO IMAGE REMAINING OIL AND GAS RESERVES-A CASE STUDY ON THE NGATORO FIELD,TARANAKI, NEW ZEALAND
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IMAGING ADDITIONAL OIL AND GAS RESERVES, INTEGRATING WELL PRODUCTION DATA AND 3D SEISMIC AVO CLASSIFICATION TO IMAGE REMAINING OIL AND GAS RESERVES-A CASE STUDY ON THE NGATORO FIELD,TARANAKI, NEW ZEALAND

机译:成像额外的油气储量,整合油井生产数据和3D地震AVO分类以成像剩余的油气储量-以新西兰塔拉纳基NGATORO油田为例

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This case study illustrates how 3D generalised inversion of seismic facies for reservoir parameters can be successfully applied to image and laterally predict reservoir parameters in laterally discontinuous turbiditic depo-sitional environment where hydrocarbon pools are located in complex combined stratigraphic-structural traps. Such conditions mean that structural mapping is inadequate to define traps and to estimate reserves in place. Conventional seismic amplitude analysis has been used to aid definition but was not sufficient to guarantee presence of economic hydrocarbons in potential reservoir pools. The Ngatoro Field in Taranaki, New Zealand has been producing for nine years. Currently the field is producing 1,000 bopd from seven wells and at three surface locations down from a peak of over 1,500 bopd. The field production stations have been analysed using new techniques in 3D seismic imaging to locate bypassed oils and identify undrained pools. To define the objectives of the study, three questions were asked: 1. Can we image reservoir pools in a complex strati-graphic and structural environment where conventional grid-based interpretation is not applicable due to lack of lateral continuity in reservoir properties? 2. Can we distinguish fluids within each reservoir pools? 3. Can we extrapolate reservoir parameters observed at drilled locations to the entire field using 3D seismic data to build a 3D reservoir model? Using new 3D seismic attributes such as bright spot indicators, attenuation and edge enhancing volumes coupled with 6 AVO (Amplitude Versus Offset) volumes integrated into a single class cube of reservoir properties, made the mapping of reservoir pools possible over the entire data set. In addition, four fluid types, as observed in more than 20 reservoir pools were validated by final inverted results to allow lateral prediction of fluid contents in un-drilled reservoir targets. Well production data and 3D seismic inverted volume were later integrated to build a 3D reservoir model to support updated volumetrics reserves computation and to define additional targets for exploration drilling, additional well planning and to define a water injection plan for pools already in production.
机译:该案例研究说明了如何在储集层位于复杂组合地层-构造圈闭的横向不连续紊流沉积环境中成功地将储层参数地震相的3D广义反演应用于图像和横向预测储层参数。这样的条件意味着结构映射不足以定义圈闭和估算储量。传统的地震振幅分析已用于帮助定义,但不足以保证潜在储层中存在经济烃。新西兰塔拉纳基的Ngatoro油田已经生产了9年。目前,该油田正在从7口井中生产1,000桶/日的石油,并且在三个地面位置从1,500桶/日的峰值下降。已使用3D地震成像中的新技术对现场生产站进行了分析,以定位绕过的油并识别不排水的油藏。为了确定研究目标,提出了三个问题:1.我们能否在复杂的地层和结构环境中对储层成像,因为传统的基于网格的解释由于储层属性缺乏横向连续性而无法应用? 2.我们能否区分每个储层中的流体? 3.我们是否可以使用3D地震数据将在钻井位置观察到的储层参数外推到整个油田,以建立3D储层模型?使用新的3D地震属性,例如亮点指示器,衰减和边缘增强体积,以及将6 AVO(幅值与偏移量)体积集成到一个单一类别的油藏属性立方体中,就可以在整个数据集上绘制油藏。此外,通过最终反演结果验证了在20多个储层中观察到的四种流体类型,从而可以侧向预测未钻井储层目标中的流体含量。后来将油井生产数据和3D地震反演体积进行集成,以建立3D油藏模型,以支持更新的体积储量计算,并为勘探钻探,其他油井规划定义其他目标,并为已经在生产中的水池定义注水计划。

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