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Title: Modeling the Aliso Canyon underground gas storage well blowout and kill operations using the coupled well-reservoir simulator T2Well

Journal Article · · Journal of Petroleum Science and Engineering
 [1];  [1];  [1];  [1]
  1. Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

A blowout of the Sesnon Standard-25 well (SS-25; API 03700776) at the Aliso Canyon Underground Gas Storage Facility, first observed on October 23, 2015, eventually resulted in emission of nearly 100,000 tonnes of natural gas (mostly methane) to the atmosphere. Several thousand people were displaced from their homes as the blowout spanned 111 days. Seven attempts to gain pressure control and stop the gas flow by injection of heavy kill fluids through the wellhead failed, a process referred to as a “top kill.” Introduction of drilling mud when a relief well milled through the casing of SS-25 at a depth of ~8 400 ft (“bottom kill”) succeeded in halting the gas flow on February 11, 2016. We carried out coupled well-reservoir numerical modeling using T2Well to assess why the top kills failed to control the blowout. T2Well couples a reservoir simulation in which porous media flow is described using Darcy's law with a discretized wellbore in which the Navier-Stokes momentum equation implemented via a drift-flux model (Shi et al., 2005) is used to describe multi-phase fluid transport to allow detailed process modeling of well blowouts and kill attempts. Modeling reveals the critical importance of well geometry in controlling flow dynamics and the corresponding success or failure of the kill attempts. Geometry plays a role in controlling where fluids can flow, e.g., when gas flow prevents liquid flow from entering the tubing from the annulus, but geometry also provides the opportunity for dead end regions to accumulate stagnant gas and liquid that can also affect kill attempts. Simulations show that follow-up fluid injections after the main kill attempts likely would have been effective to ensure that gas leakage remains stopped. Finally, T2Well is capable of simulating well kills and understanding the mechanisms behind well control failures and successes.

Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Fossil Energy (FE); California Dept. of Conservation (United States)
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
1476623
Alternate ID(s):
OSTI ID: 1582710
Journal Information:
Journal of Petroleum Science and Engineering, Vol. 161; ISSN 0920-4105
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 16 works
Citation information provided by
Web of Science

References (10)

The Dynamic Two-Fluid Model OLGA: Theory and Application journal May 1991
Methane emissions from the 2015 Aliso Canyon blowout in Los Angeles, CA journal February 2016
Comparison of compressed air energy storage process in aquifers and caverns based on the Huntorf CAES plant journal November 2016
Numerical simulations of the Macondo well blowout reveal strong control of oil flow by reservoir permeability and exsolution of gas journal July 2011
Selected papers from the 11thUS annual conference on Carbon Capture, Utilization, and Sequestration journal February 2013
Porous Media Compressed-Air Energy Storage (PM-CAES): Theory and Simulation of the Coupled Wellbore–Reservoir System journal January 2013
Fully coupled wellbore-reservoir modeling of geothermal heat extraction using CO 2 as the working fluid journal January 2015
T2Well—An integrated wellbore–reservoir simulator journal April 2014
Analytical solution for two-phase flow in a wellbore using the drift-flux model journal December 2011
Transient CO2 leakage and injection in wellbore-reservoir systems for geologic carbon sequestration journal October 2011

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