Table 1 Input parameter table for Att-LSTM neural network pressure real-time prediction model.

From: Real-time warning method for sand plugging in offshore fracturing wells

Parameter

Unit

Parameter attribute

hour

hh

Original parameter

minute

mm

Original parameter

second

ss

Original parameter

Pressure, p

MPa

Original parameter

Displacement rate, q

m3/s

Original parameter

Sand concentration, s

kg/m3

Original parameter

Accumulated sand concentration

kg/m3

Extended parameter

Mean pressure,‾f|p

MPa

Extended parameter

Mean sand concentration,‾f|s

kg/m3

Extended parameter

Pressure deviation, d|p

MPa

Extended parameter

Sand concentration deviation, d|s

kg/m3

Extended parameter

Absolute value of pressure deviation, |d|p|

MPa

Extended parameter

Absolute value of sand concentration deviation, |d|s|

kg/m3

Extended parameter

The average rate of pressure changes at j = 20,\(\frac{\Delta f}{{\Delta t}}\left| {_{p,20} } \right.\)

MPa

Extended parameter

The average rate of displacement rate changes at j = 20,\(\frac{\Delta f}{{\Delta t}}\left| {_{q,20} } \right.\)

m3/s

Extended parameter

The average rate of sand concentration changes at j = 20,\(\frac{\Delta f}{{\Delta t}}\left| {_{s,20} } \right.\)

kg/m3

Extended parameter

The average rate of pressure changes at j = 30,\(\frac{\Delta f}{{\Delta t}}\left| {_{p,30} } \right.\)

MPa

Extended parameter

The average rate of displacement rate changes at j = 30,\(\frac{\Delta f}{{\Delta t}}\left| {_{q,30} } \right.\)

m3/s

Extended parameter

The average rate of sand concentration changes at j = 30,\(\frac{\Delta f}{{\Delta t}}\left| {_{s,30} } \right.\)

kg/m3

Extended parameter