0
research-article

Risk Based Approach to Prevent Aquifer Contamination in Upstream Oil and Gas Wells

[+] Author and Article Information
Mohammad Ajmi

Saudi Aramco, Abqaiq Saudi Arabia, 31311
mohammed.ajmi.11@aramco.com

Dhafer Al-Shehri

Assistant Professor, Department of Petroleum Engineering, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia
alshehrida@kfupm.edu.sa

Mohamed Mahmoud

Associate Professor, Department of Petroleum Engineering, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia
mmahmoud@kfupm.edu.sa

Nasser Al-Hajri

Saudi Aramco, Abqaiq Saudi Arabia, 31311
nasser.hajri.22@aramco.com

1Corresponding author.

ASME doi:10.1115/1.4040237 History: Received December 15, 2017; Revised May 06, 2018

Abstract

In this paper we introduced a risk based methodology to predict the downhole casing leaks in oil and gas wells using advanced casing corrosion logs such as electromagnetic logs. Downhole casing corrosion was observed to assess the remaining well life. Electromagnetic (EM) corrosion logs are the current practice for monitoring the casing corrosion. EM tool gives average reading for the corrosion in the casing at a specific depth and it does not tell about the orientation of the corrosion. EM logs does not assess the 360o corrosion profile in the casing and it only provides average value and this may lead to wrong decision. All of this makes EM logs uncertain tools to assess the corrosion in the downhole casing. A unified criterion to assess the corrosion in the casing and to decide to go for workover operations or not has to be identified to minimize the field challenges related to this issue. A new approach was introduced in this paper to enhance the EM logs to detect the downhole casing corrosion. Corrosion data was collected from different fields (around 500 data points) to build a probabilistic approach to assess the casing failure based on the average metal loss from the EM corrosion log. The failure model was used to set the ranges for the casing failure and the probability of casing failure for different casings. The prediction of probability of failure will act as proactive maintenance which will help prevent further or future casing leaks.

Copyright (c) 2018 by ASME
Your Session has timed out. Please sign back in to continue.

References

Figures

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In