非常规/复杂油藏

Delaware Play 中的多井压力历史匹配有助于优化压裂

本文的作者定义了一个工作流程,该流程约束与模型和现场观测相匹配的解决方案,并获得用于预测和优化裂缝行为的更具代表性的模型。

使用现场泵送计划、现场排序和压裂之间的现场计时进行水力压裂建模的结果。 针对 PHM 进行了数百次此类模拟。
图1-使用现场泵送计划、现场排序和压裂之间的现场计时进行水力压裂建模的结果。针对 PHM 进行了数百次此类模拟。

由于水力裂缝模型包含复杂的物理过程和由许多变量定义的不确定性,因此用现场响应校准建模结果的问题是不适定的。总是可以找到再现现场数据的校准模型;然而,这样的模型并不唯一,并且存在多种匹配解决方案。整篇论文的目标和范围是定义一个工作流程,用于约束这些解决方案并获得更具代表性的预测和优化模型。

介绍

在该项目中,提出了一个工作流程,使用具有众所周知的物理学和高置信度岩石特性输入的超快水力压裂模型来对垫级油田开发进行敏感性分析。基于对模型变量不确定性的研究,选择两个最不确定的变量(构造应变和泄漏乘数)进行模型校准。

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Unconventional/complex reservoirs

Multiwell-Pressure History Matching in Delaware Play Helps Optimize Fracturing

The authors of this paper define a work flow that constrains solutions that match models and field observations and obtains a more-representative model for forecasting and optimizing fracture behavior.

Results of hydraulic fracture modeling using the field-pumping schedules, field sequencing, and field timing between fracturing. Hundreds of these simulations were conducted for PHM.
Fig. 1—Results of hydraulic fracture modeling using the field-pumping schedules, field sequencing, and field timing between fracturing. Hundreds of these simulations were conducted for PHM.

Because hydraulic fracture models include complex physics and uncertainties defined by many variables, the problem of calibrating modeling results with field responses is ill-posed. It is always possible to find a calibrated model that reproduces field data; however, such a model is not unique and multiple matching solutions exist. The objective and scope of the complete paper is to define a work flow for constraining these solutions and obtaining a more-representative model for forecasting and optimization.

Introduction

In this project, a work flow is presented that uses an ultrafast hydraulic fracturing model with well-known physics and high-confidence rock-property inputs to conduct sensitivity analysis for pad-scale field development. Based on a study of uncertainty on the model variables, the two most-uncertain variables (tectonic strain and leakoff multiplier) are selected for model calibrations.

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