proven model of permafrost thaw halo formation … novikov iae… · consultant), dmitry sergeev...

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PROVEN MODEL OF PERMAFROST THAW HALO FORMATION AROUND A PIPELINE Pavel Novikov 1 , Elizaveta Makarycheva 2 , Valery Larionov 1,2 Second, we measured the permafrost thaw halo around the oil pipeline = 1,22 m) located in Eastern Siberia, Russia (see Figure 1). Measurements of thaw halo extent were taken for two sections of the pipeline after 3 years from the start of its operation. In addition, we collected all information as accurately as possible about local conditions that affect permafrost-pipeline thermal interaction. Finally, we conducted a series of numerical studies to evaluate the individual influence of each factor on permafrost thaw halo formation (see Table 2), allowing us to estimate the requirements for input condition. Third, we predicted the thawing halo formation around the pipeline using our model and conditions recorded at the pipeline. We compared calculated halo dimensions with measurements of the thawing halo for each of two sections during June and October in the third year of the pipeline's utilization. Figure 2 demonstrates the agreement between calculated and measured results. In conclusion, we have developed and tested a predictive model of permafrost thaw halo formation that makes reasonable demands on initial data accuracy and provides sufficient accuracy of calculated thawing halo dimensions. According to the results of the numerical studies, the dimensions of the thawing halo are most sensitive to the temperature of the transported hydrocarbons, thermal conductivity of frozen soil and the initial temperature field of permafrost within the region of the pipeline’s thermal influence. This model can be used as a basis for further investigations of the stress state of a pipeline in the conditions of soil subsidence. t, °C Section 1, October Section 2, October Section 2, June Section 1, June SPECIAL ACKNOWLEDGEMENTS TO: Sergey Suschev (head of department), Michail Kozlov (programmer), Vyacheslav Loginov (programmer), Aleksandr Ugarov (scientific consultant), Dmitry Sergeev (scientific consultant), Ivan Lysov (engineer), Sergey Strugin (geodesist), Nikolay (excavator), Aleksandr Malenov (PhD student), Aleksandr Chizhov (cartographer), Nikita Veselov (student), Roman Vetrov (student), Alexey Korotkov (opponent), Natalya Sladkova (editor) and The Ministry of Education and Science of The Russian Federation Notations: 1 a daylight surface; 2 a pipeline; 3 a seasonally thawing layer; 4 a measured border of the thawing halo. The size of cells is 1 x 1 m. 2 3 4 1 frozen ground Pipeline parameters Pipe wall temperature (t oil ) Pipe outside diameter Pipe wall thickness Thermal insulation coating thickness (h ins ) Thermal conductivity coefficient of thermal insulation coating Trench geometry Ground and backfill properties Layer thickness Thermal conductivity coefficient of thawing ground (S t ) Thermal conductivity coefficient of frozen ground (S f ) Heat capacity of thawing ground (C) Moisture content Density Porosity Melting temperature Type Thawing factor Compressibility factor of thawing ground Density Permafrost parameters Depth Average annual temperature near the daylight surface (t perm ) Climate data Average monthly temperatures Average monthly wind speed Average monthly snow depth Power density of solar radiation Air-ground heat transfer coefficient Daylight surface albedo - Nominal input + Thawing halo dimensions, m STL, m SFL, m Thawing halo Dimensions, m STL, m SFL, m Thawing halo Dimensions, m STL, m SFL, m Depth under a pipe Half- width Depth under a pipe Half- width Depth under a pipe Half- width Section 1, June C (-/+ 30%) 2,90 2,81 0,91 - 2,90 2,84 0,91 - 2,90 2,97 0,91 - t oil (-/+ 30%) 2,78 2,56 0,91 - 3,10 3,03 0,91 - S f (-/+ 30%) 3,10 2,69 0,91 - 2,85 2,97 0,91 - S t (-/+ 30%) 2,90 2,34 0,84 - 2,90 3,09 0,91 - h ins (on/off/-) 2,55 2,66 0,91 - - - - - t perm (-/+ 30%) 2,85 2,50 0,91 - 3,10 3,25 0,91 - Section 2, June C (-/+ 30%) 3,93 2,13 1,41 - 3,93 2,13 1,41 - 3,93 2,13 1,41 - t oil (-/+ 30%) 3,73 1,88 1,72 - 4,10 2,38 1,84 - S f (-/+ 30%) 4,13 2,31 0,94 - 3,80 1,97 1,41 - S t (-/+ 30%) 3,88 2,00 0,97 - 3,98 2,25 1,91 - h ins (on/off/-) 3,43 1,91 1,41 - - - - - t perm (-/+ 30%) 3,78 1,94 1,09 - 4,09 2,31 1,53 - Section 1, October C (-/+ 30%) 3,98 2,75* 1,91 0,19 3,98 2,15 1,60 0,18 3,95 2,16 1,69 0,19 t oil (-/+ 30%) 3,75 1,97 1,69 0,19 4,15 2,38 1,69 0,19 S f (-/+ 30%) 4,20 2,25 1,63 0,13 3,80 2,06 1,69 0,19 S t (-/+ 30%) 3,93 2,00 1,44 0,28 3,98 2,06 1,69 0,19 h ins (on/off/-) 3,38 1,94 1,63 0,19 - - - - t perm (-/+ 30%) 3,80 2,00 1,56 0,19 4,20 2,41 1,91 0,19 Section 2, October C (-/+ 30%) 3,50 2,70* 1,91 0,19 3,48 2,20 1,87 0,18 3,48 2,70* 1,91 0,19 t oil (-/+ 30%) 3,30 2,5* 1,88 0,19 3,65 3,05* 1,88 0,19 S f (-/+ 30%) 3,68 3,00 1,88 0,13 3,35 2,65 1,94 0,22 S t (-/+ 30%) 3,43 2,28 1,66 0,28 3,50 2,90 1,91 0,09 h ins (on/off/-) 3,00 2,60 1,88 0,19 - - - - t perm (-/+ 30%) 3,35 2,65 1,72 0,19 3,56 2,85 2,16 0,19 Heat released from buried pipelines transporting warm hydrocarbons progressively thaws surrounding permafrost forming a permafrost thaw halo around the pipeline. Due to the non-uniform distribution of soil properties and massive ice deposits in the permafrost, differential settling of soil under the pipeline is likely to occur. This differential settlement results in bending strain in the pipe’s wall which could lead to overstress and possible damage to the pipeline. This work is dedicated to the prediction of permafrost thaw halo formation around a pipeline. A reasonably accurate predictive model of pipeline thermal interaction with permafrost is difficult but realizable if detailed data on all of the relevant factors influencing this interaction are available. But today obtaining full and precise information about these factors is quite difficult. The aim of this work is to develop a predictive model that provides high ratio of the accuracy in estimating thawing halo dimensions to the quality of input data. In order to achieve this aim we solved the following problems: First, we constructed a list of factors (see Table 1) that possibly influence permafrost-pipeline thermal interaction and from this list we developed a model that predicts interaction with a pipeline and thaw halo extent. Figure 2: Comparison of the measured and calculated permafrost thaw haloes Table 2: Influence of each factor on permafrost thaw halo formation Figure 1: Permafrost thaw halo measurement Notations: 1 a daylight surface; 2 an initial position of the pipeline; 3 a current position of the pipeline (by taking into account ground subsidence); 4 a border of the trench; 5 a measured border of the thawing halo; 6 a seasonally thawing layer; 7 a seasonally frozen layer; 8 a measured border of the seasonally frozen layer; 9 a calculated border of the thawing halo; 10 a calculated depth of the thawing halo under the pipeline. The size of cells is 1 x 1 m. Table 1: Model Input 1 Bauman Moscow State Technical University (Moscow), 2 Emergency Situations Research Center Ltd. (Moscow)

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Page 1: PROVEN MODEL OF PERMAFROST THAW HALO FORMATION … Novikov IAE… · consultant), Dmitry Sergeev (scientific consultant), Ivan Lysov (engineer), Sergey Strugin (geodesist), Nikolay

PROVEN MODEL OF PERMAFROST THAW HALO FORMATION AROUND A PIPELINEPavel Novikov1, Elizaveta Makarycheva2, Valery Larionov1,2

Second, we measured the permafrost thaw halo around the oil pipeline (Ø =1,22 m) located in Eastern Siberia, Russia (see Figure 1). Measurements ofthaw halo extent were taken for two sections of the pipeline after 3 years fromthe start of its operation. In addition, we collected all information as accuratelyas possible about local conditions that affect permafrost-pipeline thermalinteraction.

Finally, we conducted a series of numerical studies to evaluate the individual influence of each factor onpermafrost thaw halo formation (see Table 2), allowing us to estimate the requirements for input condition.

Third, we predicted the thawing halo formation around the pipeline using ourmodel and conditions recorded at the pipeline. We compared calculated halodimensions with measurements of the thawing halo for each of two sectionsduring June and October in the third year of the pipeline's utilization. Figure 2demonstrates the agreement between calculated and measured results.

In conclusion, we have developed and tested a predictive model of permafrost thaw halo formation thatmakes reasonable demands on initial data accuracy and provides sufficient accuracy of calculated thawinghalo dimensions. According to the results of the numerical studies, the dimensions of the thawing halo aremost sensitive to the temperature of the transported hydrocarbons, thermal conductivity of frozen soil andthe initial temperature field of permafrost within the region of the pipeline’s thermal influence. This modelcan be used as a basis for further investigations of the stress state of a pipeline in the conditions of soilsubsidence.

t, °C

Section 1, October Section 2, October

Section 2, JuneSection 1, June

SPECIAL ACKNOWLEDGEMENTS TO: Sergey Suschev (head of department), Michail Kozlov (programmer), Vyacheslav Loginov (programmer), Aleksandr Ugarov (scientificconsultant), Dmitry Sergeev (scientific consultant), Ivan Lysov (engineer), Sergey Strugin (geodesist), Nikolay (excavator), Aleksandr Malenov (PhD student), Aleksandr Chizhov(cartographer), Nikita Veselov (student), Roman Vetrov (student), Alexey Korotkov (opponent), Natalya Sladkova (editor) and The Ministry of Education and Science of TheRussian Federation

Notations: 1 – a daylight surface; 2 – a pipeline; 3 – a seasonally thawing layer; 4 –a measured border of the thawing halo. The size of cells is 1 x 1 m.

2

3

4

1

frozen ground

Pipeline parametersPipe wall temperature (toil)Pipe outside diameterPipe wall thicknessThermal insulation coating thickness (hins)Thermal conductivity coefficient of thermal insulation coatingTrench geometry

Ground and backfill propertiesLayer thicknessThermal conductivity coefficient of thawing ground (St)Thermal conductivity coefficient of frozen ground (Sf)Heat capacity of thawing ground (C)Moisture contentDensityPorosityMelting temperatureTypeThawing factorCompressibility factor of thawing groundDensity

Permafrost parametersDepthAverage annual temperature near the daylight surface (tperm)

Climate dataAverage monthly temperaturesAverage monthly wind speedAverage monthly snow depthPower density of solar radiationAir-ground heat transfer coefficientDaylight surface albedo

- Nominal input +

Thawing halodimensions,

mSTL, m SFL, m

Thawing haloDimensions,

mSTL, m SFL, m

Thawing haloDimensions,

mSTL, m SFL, m

Depthundera pipe

Half-width

Depthundera pipe

Half-width

Depthundera pipe

Half-width

Section 1, June

C (-/+ 30%) 2,90 2,81 0,91 -

2,90 2,84 0,91 -

2,90 2,97 0,91 -

toil (-/+ 30%) 2,78 2,56 0,91 - 3,10 3,03 0,91 -

Sf (-/+ 30%) 3,10 2,69 0,91 - 2,85 2,97 0,91 -

St (-/+ 30%) 2,90 2,34 0,84 - 2,90 3,09 0,91 -

hins (on/off/-) 2,55 2,66 0,91 - - - - -

tperm (-/+ 30%) 2,85 2,50 0,91 - 3,10 3,25 0,91 -

Section 2, June

C (-/+ 30%) 3,93 2,13 1,41 -

3,93 2,13 1,41 -

3,93 2,13 1,41 -

toil (-/+ 30%) 3,73 1,88 1,72 - 4,10 2,38 1,84 -

Sf (-/+ 30%) 4,13 2,31 0,94 - 3,80 1,97 1,41 -

St (-/+ 30%) 3,88 2,00 0,97 - 3,98 2,25 1,91 -

hins (on/off/-) 3,43 1,91 1,41 - - - - -

tperm (-/+ 30%) 3,78 1,94 1,09 - 4,09 2,31 1,53 -

Section 1, October

C (-/+ 30%) 3,98 2,75* 1,91 0,19

3,98 2,15 1,60 0,18

3,95 2,16 1,69 0,19

toil (-/+ 30%) 3,75 1,97 1,69 0,19 4,15 2,38 1,69 0,19

Sf (-/+ 30%) 4,20 2,25 1,63 0,13 3,80 2,06 1,69 0,19

St (-/+ 30%) 3,93 2,00 1,44 0,28 3,98 2,06 1,69 0,19

hins (on/off/-) 3,38 1,94 1,63 0,19 - - - -

tperm (-/+ 30%) 3,80 2,00 1,56 0,19 4,20 2,41 1,91 0,19

Section 2, October

C (-/+ 30%) 3,50 2,70* 1,91 0,19

3,48 2,20 1,87 0,18

3,48 2,70* 1,91 0,19

toil (-/+ 30%) 3,30 2,5* 1,88 0,19 3,65 3,05* 1,88 0,19

Sf (-/+ 30%) 3,68 3,00 1,88 0,13 3,35 2,65 1,94 0,22

St (-/+ 30%) 3,43 2,28 1,66 0,28 3,50 2,90 1,91 0,09

hins (on/off/-) 3,00 2,60 1,88 0,19 - - - -

tperm (-/+ 30%) 3,35 2,65 1,72 0,19 3,56 2,85 2,16 0,19

Heat released from buried pipelines transporting warmhydrocarbons progressively thaws surroundingpermafrost forming a permafrost thaw halo around thepipeline. Due to the non-uniform distribution of soilproperties and massive ice deposits in the permafrost,differential settling of soil under the pipeline is likely tooccur. This differential settlement results in bendingstrain in the pipe’s wall which could lead to overstressand possible damage to the pipeline.

This work is dedicated to the prediction of permafrostthaw halo formation around a pipeline. A reasonablyaccurate predictive model of pipeline thermalinteraction with permafrost is difficult but realizable ifdetailed data on all of the relevant factors influencingthis interaction are available. But today obtaining fulland precise information about these factors is quitedifficult.

The aim of this work is to develop a predictive modelthat provides high ratio of the accuracy in estimatingthawing halo dimensions to the quality of input data. Inorder to achieve this aim we solved the followingproblems:

First, we constructed a list of factors (see Table 1) that possibly influencepermafrost-pipeline thermal interaction and from this list we developed amodel that predicts interaction with a pipeline and thaw halo extent.

Figure 2: Comparison of the measured and calculated permafrost thaw haloes

Table 2: Influence of each factor on permafrost thaw halo formation

Figure 1: Permafrost thaw halo measurement

Notations: 1 – a daylight surface; 2 – an initial position of the pipeline; 3 – a current position of the pipeline (by taking intoaccount ground subsidence); 4 – a border of the trench; 5 – a measured border of the thawing halo; 6 – a seasonallythawing layer; 7 – a seasonally frozen layer; 8 – a measured border of the seasonally frozen layer; 9 – a calculated border ofthe thawing halo; 10 – a calculated depth of the thawing halo under the pipeline. The size of cells is 1 x 1 m.

Table 1: Model Input

1Bauman Moscow State Technical University (Moscow), 2Emergency Situations Research Center Ltd. (Moscow)