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Simon Impey, MEng AIGEM, Civil Engineer, DNV GL Utilities Specialist Services, Loughborough, UK 1 of 5
Dam Failure: Assessing the Risks to Pipeline Infrastructure
For a 2013 Civil Contingencies exercise, the potential
failure of a large reservoir dam was investigated.
Directly within the predicted flow path of the
reservoir deluge were two National Transmission
System high pressure gas pipelines and a compressor
station.
Our client National Grid Gas Transmission required an
assessment of the impact of the dam failure to
evaluate and appreciate the hazards, to inform the
development of their emergency action plans. This
investigation was to be a ‘desk-top’ study of available
information, to identify the sources of risk and
recommend possible mitigation measures.
Modelling Methodology
There were three considerations used to determine
the hazard to the pipelines from the potential dam
failure.
1. Is there a risk to the pipelines of buoyancy failure
from the initial inundation by the flood waters?
2. Is the subsequent flow capable of causing
erosion, and to what extent may this change the
pipeline cover depth?
3. If the cover depth to the pipeline has been
eroded, does this exacerbate the risk of buoyancy
failure to the pipelines?
Following from previous studies of flooding risks to
pipelines, our approach to answer these questions
was to use Geographic Information Systems (GIS) to
collate and geo-reference different datasets from
various institutions. The combined data sets would
then facilitate the application of empirical equations
and make location specific calculations possible.
Sources of Information
The Client
The British Geological Survey (BGS)
The Environment Agency (EA)
The client provided the pipeline properties, including
material, dimensions and pipeline routing information
in the form of a GIS data layer (drawn by GPS data
taken by route surveys). The client also provided as-
built construction information describing the cover
depth at locations along the pipeline.
Geology data was purchased from the BGS, this
comprised GIS polygons of the superficial soil types
identified. This enabled us to understand what soil
types are likely to be encountered, such as sands and
gravels, or clays, etc.
The EA provided the predicted flood event data
comprising predicted maximum extent, maximum
depth and velocity.
Cross Referencing of Data sets
Figure 1 shows how the geo-referenced data sets for
superficial geology, pipeline route and flood water
extents overlap within the GIS software [1]. The
coloured shapes represent different soil types
present, e.g. Alluvium (yellow), River Terrace Deposits
(Orange). The purple lines represent the two
Transmission Pipelines, A & B, and the blue outline
represents the flood water extent.
Figure 1: Cross referenced data sets for superficial geology, pipelines and flood water extent.
Figure 2 shows a visual representation of how the
flood water depth profile at peak conditions interacts
Simon Impey, MEng AIGEM, Civil Engineer, DNV GL Utilities Specialist Services, Loughborough, UK 2 of 5
with the pipelines, which varies by location as a
gradient colour field.
Figure 2: Cross referenced data sets highlighting a velocity profile for the predicted flood water at peak flow conditions.
Buoyancy Assessment
Pipeline Buoyancy Theory
Pipelines that are buried wholly or partially below a
water level are subject to a buoyancy uplift force (as
gas is less dense than the water it displaces). A
downwards force to counteract the uplift is therefore
required. The downwards force is typically provided
by the soil overburden and pipeline self-weight (see
Figure 3). The parameters chosen which define the
downwards force represent the minimum that the soil
could resist uplift, as typically shear forces within the
soil structure would also provide resistance as well as
a more prismatic column shape.
Figure 3: Forces associated with Buoyancy.
If the pipeline is buried in soft, low density organic
soils such as peat, the soil overburden load may be
insufficient to counteract the uplift force, leading to
breakout failure and exposure of the pipeline – see
Figure 4. Note that failure could also be caused by
insufficient pipeline cover depth and low self-weight
provided by the pipe material.
Figure 4: Buoyancy failure of a High Pressure natural gas pipeline in 2007 floods. The pipeline was buried in low density Peat soils.
Acceptance Criteria
Pipelines that are known to be constructed through
areas with potential to cause buoyancy uplift
(floodplains and river crossings) are generally
designed to be negatively buoyant. T/SP/CE/2 [2]
provides a target factor of safety of 1.2 for buried
pipelines; this is described in the relationship below,
using the forces as described in Figure 3.
Factor of Safety = 2.1Buoy
soilpipe
F
FF
Analysis Assumptions
For each of the main soil types identified on site
through which the pipeline is buried, a range of
estimates for soil bulk density was produced. The
purpose of having a range of estimates was to reflect
the fact that this assessment is a desk-top study and
covers large sections of pipeline.
The cover depths applied to the pipeline were based
upon as-built survey records and as such were
relatively sparse in some locations and potentially out
of date.
Weight of the soil column,
(product of pipe diameter, cover depth
and soil density)
Self-weight of pipeline,
(product of pipe diameter, wall thickness
and pipe density)
Buoyancy force,
(product of pipe void area and density of
soil & water)
Simon Impey, MEng AIGEM, Civil Engineer, DNV GL Utilities Specialist Services, Loughborough, UK 3 of 5
Erosion Assessment
Erosion to the host soils around natural gas pipelines
is a serious issue normally encountered at pipeline
river crossings and is why they are typically designed
to be at depth in excess of 2m. Figure 5 shows a high
pressure pipeline exposed by erosion.
Figure 5: A High Pressure natural gas pipeline where the host soils have become eroded within the river bank in 2013.
In this project we made use an empirical technique
featured in the United States Department of
Transportation, Federal Highway Administration,
Hydraulic Engineering Circular 18 (HEC-18),
‘Evaluating Scour at Bridges’ [3]. This method used
the concepts of ‘stream power’ and ‘erodability’.
Stream Power
This value is representative of the ability of the flow to
generate turbulence at the boundary, and hence the
erosive capability of the flow. It is a function of bed
friction, the inherent energy within the flow and the
shear force acting on the bed. It is therefore possible
to quantify the erosive capability, given a flow depth
and velocity (as provided by the EA) and assumptions
about the bed conditions (estimations based upon
BGS data and land usage inferred from Aerial
photography).
Erodability
The methodology for determining the threshold
power required to dislodge particles, and hence cause
scour, is based upon a product relation of four key
factors. The four factors are determined using unique
relationships featuring a host of factors unique to site
conditions.
Where Will Erosion Occur?
By direct comparison of the applied stream power at
the bed and the erodability index (both expressed in
kW/m2), it is possible to determine where erosion is
likely to occur.
Results & Discussion
Initial Buoyancy Assessment
The results of the factor of safety calculation for
pipeline A are shown as an example in Figure 6. This
graph shows the surveyed soil type against the FOS
against buoyancy values calculated at specific position
along the pipeline. The graph for Pipeline A shows
that the predicted FOS for this pipeline is generally
acceptable; however at a short section (chainage
2140m) with minimum cover depth and worst case
soil density, the FOS is below 1.2.
Erosion Assessment
The results of the calculated applied stream power at
bed and the worst case erosion power thresholds
(vegetated and non-vegetated) for Pipeline A are
shown in Figure 7. These results indicate that the
predicted applied stream power to the bed in general
does not exceed the predicted erosion power
thresholds assigned to the soils across the route of the
pipeline.
There is however some evidence of the applied
stream power at the bed exceeding the threshold for
erosion in the vegetated case within the alluvium
soils. This occurs within the section of Pipeline A at
the deepest point within the flow profile (circa
ch.5500m from compressor). This then indicates that
erosion is predicted to occur within the shallow extent
of the soils which contain the roots of the vegetation
(i.e. top-soil), but would not erode the soils
underneath.
Simon Impey, MEng AIGEM, Civil Engineer, DNV GL Utilities Specialist Services, Loughborough, UK 4 of 5
Figu
re 6
: C
alcu
late
d F
act
or
of
safe
ty a
gain
st b
uo
yan
cy f
ailu
re b
ase
d u
po
n a
ran
ge o
f e
stim
ate
s o
f so
il d
en
sity
an
d c
ove
r d
ep
th, p
lott
ed
aga
inst
pip
elin
e c
ha
inag
e.
Figu
re 7
: C
alcu
late
d a
pp
lied
str
eam
po
we
r at
th
e b
ed
(b
lue
) a
gain
st t
hre
sho
ld v
alu
es
for
the
so
il ty
pe
id
en
tifi
ed
fo
r b
oth
th
e v
ege
tate
d w
ors
t ca
se e
stim
ate
an
d n
on
-ve
geta
ted
wo
rst
case
est
imat
e.
Simon Impey, MEng AIGEM, Civil Engineer, DNV GL Utilities Specialist Services, Loughborough, UK 5 of 5
Secondary Buoyancy Assessment
Only a small section of Pipeline A is predicted to
experience erosion and this is predicted to be limited
to the depth of soil used to cultivate crops, which can
be assumed to be with the top-soil. Top-soil is not
included within the factor of safety against buoyancy
failure calculations, and so the removal of this will not
impact on the initial factor of safety against buoyancy
calculation.
Further Study
To determine the consequence of the pipeline
becoming exposed due to localised scour, an
additional assessment was performed. This
assessment took into account the drag force of the
flow and the vortex induced vibrations on the
pipelines. This study concluded certain lengths of
exposure of each pipeline which would be critical to
pipeline integrity. These conclusions were then
included in a bespoke risk assessment of both
pipelines.
Recommendations
A number of recommendations were made to the
client following the results of the assessments. These
were grouped into Proactive mitigation measures and
Reactive; i.e. mitigation that could take place now to
reduce the risks and measures that could happen
should the dam fail (with approximately 1h15mins
warning).
Why This Project Was Significant
This project was important to the client as it helped
them to participate with the Government exercise
with some confidence about the risk of buoyancy and
erosion and what they could do about it should it
happen.
The project was special to me as it allowed me to fully
explore the use of technology to solve real
engineering problems in a creative way. In this
project I learnt how to use GIS to collate and geo-
reference datasets from the different institutions, and
then split and export the collated data to apply
empirical calculations. The application of these
empirical methods also helped to develop my
engineering knowledge providing useful background
information for further work.
It was a very enjoyable project and an example of the
challenging engineering problems I am solving with
my team every day.
SIMON IMPEY, MEng AIGEM
References
[1] ArcMap v10 Build 3600, ArcGIS Desktop 10 Service
Pack 4, ESRI corporation
[2] T/SP/CE/2. Specification for the Design, Construction
and Testing of Civil and Structural Works. Geotechnical
Works and Foundations. National Grid June 2009.
[3] HEC-18 (Hydraulic Engineering Circular No. 18).
Evaluating Scour at Bridges. U.S. Department of
Transportation Federal Highway Administration,
Publication No. FHWA-HIF-12-003, Fifth Edition, April
2012.