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Development of framework for predicting water production from oil and gas wells in Wattenberg Field, Colorado.

机译:在科罗拉多州的瓦滕贝格油田,开发了预测油气井水产量的框架。

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摘要

Water issues in the oil and gas industry have drawn attention from various stakeholders including the public, industry and environmental groups. With the increasing demand for energy, the number of oil and gas wells has increased greatly providing 60% of the energy in the United States. Besides the large volume of fresh water required for drilling and hydraulic fracturing, wastewater from the well can also lead to serious problems. The current approach for managing wastewater from oil and gas fields is deep well injection or evaporation both of which can potentially cause environmental issues. One of the best strategies to solve water issues from oil and gas operations is to reuse wastewater as drilling and fracturing water so the volume of fresh water required and wastewater disposed can be reduced. Information on both water quantity and quality are required when designing wastewater reuse treatment facilities. This study provides a framework for understanding water production trends from oil and gas wells in the Wattenberg field in Northern Colorado by analyzing historical data from Noble Energy Inc. The Arps equations were chosen for modeling water production from oil and gas wells. After studying 1,677 vertical and 32 horizontal wells in Wattenberg field, an exponential decline function was applied to model the produced water production of all the wells and the frac flowback water of horizontal wells. An Excel based 30-year water production prediction tool was developed based on the two protocols developed for vertical and horizontal wells in the Wattenberg field. Three case studies of different subsets of oil and gas wells were examined to illustrate the function of the tool. In addition, a comparison of exponential and harmonic functions was made in the third case study, and a significant difference was observed. The harmonic decline function predicts a less aggressive decline resulting in higher production volumes. It was concluded that in the absence of long term production data, the harmonic decline function should be used since the exponential decline function may underestimate the volume of produced water.
机译:石油和天然气行业中的水问题引起了包括公众,工业和环境团体在内的各种利益相关者的关注。随着能源需求的增加,石油和天然气井的数量大大增加,提供了美国60%的能源。除了钻井和水力压裂所需的大量淡水外,井中的废水还会导致严重的问题。当前管理油气田废水的方法是深井注入或蒸发,这两种方法都可能引起环境问题。解决油气运营中的水问题的最佳策略之一是将废水作为钻井和压裂水再利用,从而减少所需的淡水量和废水处理量。设计废水回用处理设施时,需要有关水量和水质的信息。本研究通过分析来宝能源公司的历史数据,为了解科罗拉多州北部Wattenberg油田的油气井的水生产趋势提供了一个框架。选择Arps方程对油气井的水生产进行建模。在研究了Wattenberg油田的1,677口垂直井和32口水平井后,采用指数下降函数对所有井的采出水量和水平井的压裂返排水进行建模。基于针对Wattenberg油田的垂直井和水平井开发的两种协议,开发了基于Excel的30年产水量预测工具。对油气井的不同子集进行了三个案例研究,以说明该工具的功能。此外,在第三项案例研究中对指数函数和谐波函数进行了比较,并观察到了显着差异。谐波下降功能可预测下降幅度较小,从而提高产量。结论是,在缺乏长期生产数据的情况下,应使用谐波下降函数,因为指数下降函数可能会低估产出水的量。

著录项

  • 作者

    Bai, Bing.;

  • 作者单位

    Colorado State University.;

  • 授予单位 Colorado State University.;
  • 学科 Engineering Environmental.
  • 学位 M.S.
  • 年度 2012
  • 页码 106 p.
  • 总页数 106
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:42:34

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