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Technical Paper: Automatic Surveillance System for Large Gas Fields With Multifrequency Measurements
Paper 110401
Abstract
This paper presents the results of an automatic surveillance
system implemented by PEMEX for one of Mexico’s largest
gas fields. Activo Integral Burgos (AIB) is a typical example
of large gas field where production declined due to gasloading
backpressure and reduced permeability in the target
formation. The fast decline of the gas wells during their first
year of production drove a change from reactive into proactive
management tactic to monitor the field and to select
candidates for workovers. However, the large number of
wells in AIB (approximately 2000 active wells) and the fact
95% of data is manually captured made the implementation of
automatic surveillance particularly challenging.
We introduced an automatic surveillance solution that
synchronizes the data collected daily in more than 200 wells.
Conventional production tools, including Nodal modeling,
Turner’s equation, Decline Curve Analysis, or Pressure
Survey, were individually validated and subsequently
implemented as a sequence of automated routines to process
the data over the entire field. The data was then analyzed
using a self-organizing-map engine to automatically identify
wells where fluid loading impedes production. Daily
production rates were also computed using nodal models
automatically updated with operational data for each well.
The integration of tasks including production data
gathering and standardization, monitoring, reporting and alarm
functionality, was a key element for the successful and
efficient management of gas-loading problems at the field
scale. Milestones achieved with this implementation included
the automatic identification of problematic wells and a
reconciliation of the production rates measured at the
gathering stations with rates calculated at the well level.
This surveillance methodology offers new perspectives for
the proactive management of wellbore liquid-loading
problems in large fields with very limited data stream. The
early-stage diagnosis of problems enables the operator to
make decisions in record turn-around times and extends the
productive life of the wells beyond initial expectations.
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