预测砂柱的新方法——以尼日利亚海上Baka油田为例

O. Chudi, M. Kanu, Austin Anaevune, I. Yamusa, J. Iwegbu, Oloniboko Sesan, Joel Musa
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引用次数: 1

摘要

本文详细介绍了地震储层表征研究,旨在预测孤立砂透镜体或细条纹。砂条纹或透镜体是包裹在不同岩性体中的横向不连续体,它们看起来是孤立的,横向范围和厚度变化很大,但大多以薄层形式出现。这些弦层的厚度使得钻前预测变得困难。砂柱的一个复杂因素是其潜在的超压斜坡,如果在钻井过程中意外遇到,可能会导致井涌,如果严重的井喷是不可避免的。Baka油田位于尼日利亚海岸约120公里处,水深2600英尺(800米)至3900英尺(1200米),迄今已钻了几口井。其中两口井遇到了厚度在15-25英尺之间的未预测砂体。这些砂体是在5000 ~ 10000ft的Baka储层段内发现的,无法通过常规的地震反射率数据、倒排地震数据和邻井对比进行预测。为了更好地预测这种弦串,需要有替代的解决方案。因此,2017年开发了一种新的方法——地质体约束反演方法,以实现对带状砂的准确预测。利用这种技术,建立了一个高分辨率的声阻抗体。这项研究的结果可以识别以前钻井中遇到的含气砂串,从而校准模型。事实证明,2018年,地质体反演模型是安全钻井的可靠工具,确保了Baka油田钻前阶段对砂柱的预测。
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A Novel Approach for Predicting Sand Stringers: A Case Study of the Baka Field Offshore Nigeria
This paper details the seismic reservoir characterization study, aimed at predicting isolated sand lenses or stringers. Sand stringers or lenses are laterally discontinuous bodies that are encased in a different lithological body, they appear isolated and variable in lateral extent and thickness but mostly occur as thin beds. The thickness of these stringers makes it difficult for pre-drill predictions. One complicating factor of sand stringer is its potential of being isolated overpressured ramps which if unexpectedly encountered during drilling can cause kicks and if severe a blow-out is inevitable. The Baka field is located some 120km off the coast of Nigeria in water depths of 2600ft (800m) to 3900ft (1200 m) with several wells drilled to date. Two of these wells have encountered unpredicted sand bodies that range in thickness from 15-25ft. These sand bodies were encountered within the Baka reservoir play interval of 5000 to 10000ft and were not predicted from conventional seismic reflectivity data, inverted seismic and offset well correlation. To obtain a better prediction of this stringers, alternative solutions are required. For this reason, a novel methodology - Geo-body constrained inversion approach was developed in 2017 to enable accurate prediction of stringer sands. Using this technique, a high-resolution acoustic impedance volume was built. Result of this study allowed the identification of gas bearing sand stringers encountered in previously drilled wells, thereby calibrating the model. The Geo-body inversion model proved a reliable tool for safe drilling of wells in 2018, ensuring that sand stingers were predicted at pre-drill phase in the Baka field.
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