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The Strategy-A
system provides the user access to the material selection decisions
and decision logic of a domain expert in evaluation of steels exposed
to sour pipeline environments. The system also embodies information
from other sources such as published literature on lab and plant
experience related to pipeline service. The expert system is integrated
with a Paradox database through the Strategy-A interface so as to
facilitate storage of historical data.
Pipeline applications
typically utilize welded construction of low to moderate strength
steels. They also contain hydrocarbon media under pressure (which
often contain H2S and CO2 with low pH). Typical pipeline
environments and the process of evaluating steels for service in
such environments in Strategy are represented in terms of modular
tasks described below:
-
Ranking
of the pipeline environment in terms of severity from a stand
point of hydrogen cracking to determine an Environmental Severity
Factor (ESF) for HIC, SSC and SOHIC. Pipeline environments typically
feature weak to moderate acidity solutions formed by a combination
of H2S and CO2 with water. The acid environment promotes
corrosion and the H2S enhances absorption of hydrogen
into steel. Hydrogen flux in steels and associated cracking
severity increases with decreasing pH and increasing H2S
content.
The Strategy-A
system determines an environmental severity ranking for pipeline
environments in terms of these factors on an interval scale
of 1 to 10. A typical dialog box used in Strategy to accept
user input is shown in the figure below. The program computes
the pH using the acid gas partial pressures and the bicarbonates
using relationships given by Crolet. The severity is determined
as a function of pH, H2S and temperature. Effective
dehydration, persistence of oil phase and chemical inhibition
affect the severity of hydrogen charging and therefore that
of HIC and SSC. Dehydration generally works to reduce corrosion
and hydrogen charging by minimizing the presence of liquid water
in the system. Similarly, both the oil phase and chemical inhibition
act as a corrosion resisting barrier between steel and corrosive
environment. This step ultimately leads to the determination
of an environmental severity factor (ESF).
-
Ranking
of steels based on material parameters such as composition,
micro structure, heat treatment, strength/hardness and material
form to determine a material resistance factor (MRF) representing
a steel's resistance to HIC, SSC and SOHIC. The Strategy-A system
uses a combination of 15 parameters to determine individual
material ranks that represent the material's resistance to HIC,
SSC and SOHIC. User input to the system can be accessed through
the databases (previously stored data) or can be specified interactively
through the material dialog box shown below
Heuristic
rules gleaned from literature and domain expertise to make judgments
about resistance of a specific material to HIC, SOHIC and SSC
in a specific environment. Each cracking phenomena has a set
of parameters that play a critical role in determining material
resistance. For example, for HIC resistance, the following parameters
are important:
- Product
form (hot-rolled plate or pipe, forging, casting etc.)
- Heat
treatment (as-rolled, annealed, normalized or quenched
tempered)
- Micro
structure (centerline segregation, ferrite/pearlite
banding, minor banding, no banding)
- Plate
thickness and yield strength
- Inclusion
morphology
- De-oxidation
practice (Si-Al killed, Si-killed, Ca-treated)
- Sulfur
Very low <0.002%
Low 0.002 - 0.01%
Medium 0.011 - 0.02%
High > 0.02%
- Phosphorus
Low 0.01%
High >0.1%
- Carbon
Very Low 0.1%
Low 0.11 - 0.15%
Medium 0.16 - 0.2%
High > 0.2%
Other
material compositional factors include Copper, Manganese and
Calcium. Copper levels are linked to improved material performance
in non-cyanide, medium pH environments. Similarly, high Manganese
(> 1.2) can adversely affect the inclusion morphology. Calcium
treatment is linked to Ca/S ratio as also the deoxidation practice
used in making the steel. Fully killed steels, which can have
elongated inclusion clusters can benefit from proper Ca treatment.
All
these compositional elements affect HIC resistance such that
increasing levels of these elements typically reduce HIC resistance
of both pipeline and plate steels. Parameters affecting SOHIC
resistance are,
- Sulfur
content
- micro
structure
- HAZ
hardness
- operating
stress ratio
Parameters
affecting SSC resistance in Strategy are,
- Weld
and base-metal hardness
- operating
stresses
- minimum
operating temperature
- Normalization
of the environmental and material ranks to assess the relative
suitability of a given steel to a given environment. In this step,
the system compares the extent of corrosive severity of the environment
to the resistance of the material from steps 1 and 2. An ESF higher
than MRF for any of the three phenomena (HIC, SOHIC or SSC) would
indicate a situation where the material will have to be subjected
to laboratory evaluation and possibly replaced prior to continued
use in the environment.
- Assessment
of reliability of continued use of a specific piece of pipeline
equipment and material through determination of a Crack Growth
Factor (CGF) on an interval scale of 1-10, determined as a function
of the following parameters:
- Primary
and residual stresses
- Stress
relief
- Toughness
- flaw
size
- Stress
concentration factor
- Age of
equipment
- Weld
joint geometry
- Shape
factor for cracks
The CGF is determined
to provide the end-user a vehicle to assess relative crack growth
potential between different types of pipeline equipment and to pin-point
areas of concern.
The ESF, CGF
and the MRF together will allow the user to determine the usability
of a material under a given set of conditions. The CGF and the ESF
are to be treated as severity factors, meaning lower values for
these rankings are preferable. A lower ESF indicates an environment
of lower severity. Similarly, a lower CGF indicates a more reliable
piece of equipment. The MRF for HIC, SOHIC and SSC determined by
Strategy represents material resistance, hence, a larger MRF indicates
a less susceptible material. A flow chart depicting the different
reasoning modules and their inter-relationships in the Strategy-A
system is shown below
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