综合地球科学与工程分析的油田开发优化

Agustin Hren, V. A. Exler, H. Peacock, R. Schmidt, M. Pellicer, Lucia Lamberghini, J. Gait
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引用次数: 0

摘要

Lindero Atravesado油田位于阿根廷西部的Neuquen。它自2012年以来一直在开发中。最初,它的开发重点是常规地层(Quintuco, sierra Blancas和Lotena),将Punta Rosada和Lajas地层视为地质圈闭。目前的开发重点是这些圈闭,特别是在该油田的西北地区,称为Lindero Atravesado Occidental。西方油田面临的基本挑战包括优化流体工程、避免剪切敏感流体系统、高PAD百分比以及在深高温井中安全运行效率。然而,原始的压裂设计是通过使用传统的压裂模拟器进行设计和压力匹配评估的传统循环来优化的。获得的裂缝几何形状在长度上有界,并且观察到相当大的高度增长。其他研究使用微地震、声波剖面或可追溯砂岩,结果显示,与传统调整模型相比,裂缝包含的高度和裂缝长度更长。基于数值生产模拟和匹配,结合微地震解释的压裂模型可以更好地表征裂缝几何形状、垂向覆盖、有效生产裂缝长度和排水面积效率。最后一点将直接影响井距和未来充填位置的选择。本文将讨论一种完全集成的现场规划优化方法,从地球科学表征、修井、增产和生产历史匹配开始,直接影响油井网格划分和每口井的估计最终采收率(EUR)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Field Development Optimization Through Integrated Geosciences and Engineering Analysis
Lindero Atravesado field is located in Neuquen, western Argentina. It has been under development since 2012. Originally, its development was focused on conventional formations (Quintuco, Sierras Blancas and Lotena), considering the Punta Rosada and Lajas formations as geological traps. Development is now focused on these traps, especially in the northwest region the field, called the Lindero Atravesado Occidental. Fundamental challenges in the Occidental region of the field include optimum fluid engineering, avoiding shear-sensitive fluid systems, high PAD percentage and safe operational efficiency in deep HPHT wells. However, original frac designs were optimized through a traditional cycle of design and pressure-matching evaluations using a conventional frac simulator. Obtained fracture geometries were bounded in length and a considerable height growth was observed. Other studies used microseismic, sonic profiles or traceable sands, and showed fractures contained in height and longer fracture lengths than those obtained with the traditional adjusted model. A fracturing model coupled with microseismic interpretation allowed a better characterization of fracture geometry, vertical covering, effective production fracture length and drainage area efficiency, based on numerical production simulations and matching. The last point will have a direct impact on well spacing and future selection of in-fill locations. This paper will discuss a fully integrated approach for field planning optimization, starting with geosciences characterization, workover, stimulation and production history matching, with a direct impact on well gridding and estimated ultimate recovery (EUR) per well.
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