Sand Production Management the Critical Challenge in Zawtika Gas Production

Abstract

To ensure safe operations and to maximize well potential, PTTEPI has formulated a sand production management strategy to reduce risks due to sand production while extracting natural gas resources from the young clastic reservoirs formed during Plio-Pleistocene geological sequence. Over the 2 years of historical production, the strategy has been fine-tuned and enhanced to improve its effectiveness in managing sand production. The strategy integrates efforts from both subsurface and surface disciplines. It covers initial well completion design to address the need for sand control, continuous recording and analysis of performance data after a well is put on production to monitor and manage sand production within acceptable limits, data acquisition programs to obtain additional information for analysis of sand production, and remedial and mitigation initiatives to address sand production. The following sections will discuss, in more detail, each component of the sand production management strategy.

Sand Production Management during Marine Natural Gas Hydrate Exploitation: Review and an Innovative Solution

“…The driving force for sand production was speculated to be the water flow rate rather than the gas flow rate. This was a pioneering work, although we would now conclude that the results are limited, or at least not ideal, to cover all sanding mechanisms for HBS since sand production also arose in conventional natural gas production reservoirs with barely water production. , …”

“…This was a pioneering work, although we would now conclude that the results are limited, or at least not ideal, to cover all sanding mechanisms for HBS since sand production also arose in conventional natural gas production reservoirs with barely water production. 74,75 The later experiments regarding sand production behaviors mainly focused on (1) fines migration and its influences on physical properties of the host sediment from both macroscale 56,76 and microscale 77 perspectives; (2) Multilateral coupling effect between depressurization strategies and particle migration. 77−80 (3) Influences of sand-control devices on fines production, as well as fine-induced plugging of wellbore equipment.…”

Optimal design for real-time quantitative monitoring of sand in gas flowline using computational intelligence assisted design framework

“…During the network training, after the performance gradient has reached a satisfaction pre-set goal, the training process is terminated. To demonstrate the correlation between the trained CIAD model for each of the flow measurement characteristics (c) (d) parameters and the predictors (extracted signal features) used in this study, a three-dimensional plot was used as shown inFigure 13,14, 15 and 16.…”