JurAssIC - KwIDF - Kuwait Oil Company
JurAssIC - KwIDF - Kuwait Oil Company
JurAssIC - KwIDF - Kuwait Oil Company
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BY bader nasser al-qaoud, team leader production support gas group<br />
BY QASEM DASHTI, TEAM LEADER, FIELD DEVELOPMENT GAS GROUP<br />
Unique Challenges of the Complex<br />
Jurassic Gas Field<br />
Applying Digital Processes and<br />
Technology to Exploitation Strategy<br />
“HPHT gas fields that contain near critical fluids add<br />
a dimension of complexity to the overall exploitation<br />
strategy in terms of resource management,” says<br />
Mr. Al-Qaoud. He adds, “High drawdown pressures<br />
will inevitably lead to condensate drop-out in the<br />
reservoir structure, itself, with consequences of<br />
lower ultimate recovery, depletion of reservoir<br />
energy, and reduced gas flow potential.”<br />
In the <strong>KwIDF</strong> Jurassic project, “the complex geology<br />
is evidenced by areas with a tight rock matrix<br />
associated with a dense network of connected<br />
fractures. While this leads to good production,”<br />
Mr. Al-Qaoud cautions, “there is also a high<br />
probability of liquid loading. Further complexity is<br />
found in other areas of the same structure, which<br />
have very poor reservoir properties with a sparse<br />
fracture network.”<br />
Smart views<br />
See what you need<br />
to see in time to respond.<br />
Performance engine<br />
Smart analytics: optimization<br />
for your daily constraints.<br />
Data factory<br />
Open, easy access<br />
to reliable data.<br />
Basic components of the Jurassic field intelligent<br />
Data Management System.<br />
A clear strategy<br />
Mr. Al-Qaoud wants to develop “a clear strategy<br />
to maximize the gas field’s ultimate recovery and<br />
maintain its production regularity.” He plans to<br />
accomplish this in conjunction with the <strong>KwIDF</strong><br />
Jurassic change management program. He<br />
states, “To minimize wellsite interventions due<br />
to the toxic nature of the Jurassic gas field’s flow<br />
stream, intelligent automated systems have to be<br />
developed and integrated with advanced wireless<br />
instrumentation.” This sophisticated technology,<br />
driven by remotely operated production management<br />
and surveillance software, is part of the new, stateof–the-art<br />
intelligent Data Management System<br />
implementation made possible through partnering<br />
with Schlumberger Information Solutions (SIS).<br />
Key software features<br />
The automated data management solution,<br />
powered by the Schlumberger Avocet*<br />
production software suite, will provide:<br />
■■<br />
■■<br />
■■<br />
■■<br />
■■<br />
proactive identification and visualization of<br />
potential production problems by analyzing<br />
data in the context of operating processes<br />
aggregation of real-time and other<br />
data from multiple sources, providing<br />
extensive capabilities, including event<br />
detection, reporting, trending, data<br />
diagnostics, predictive modeling, and<br />
a calculation engine<br />
insights into performance issues when<br />
plugged into a comprehensive production<br />
software suite with integral intelligent<br />
surveillance<br />
immediate access to actionable data via a<br />
Web-based user interface, enabling engineers<br />
and managers to see what they need to see<br />
in time to respond<br />
design of real-time production surveillance and<br />
optimization workflows, which allow automating<br />
and standardizing of the designed workflows.<br />
(Note: Results of 22 such workflows, including<br />
one for key performance indicators (KPIs), are<br />
visualized and accessible in SmartView, a Web<br />
portal solution for building production surveillance<br />
advisory tools.)<br />
Quick decision-making<br />
On an ongoing basis, the Production Support team is<br />
faced with critical decision-making challenges that<br />
require fast solutions to avert potentially serious<br />
problems. Mr. Al-Qaoud and his team will greatly<br />
benefit from the various productivity-enhancing<br />
features—ranging from the SmartView Web portal<br />
to Smart Analytics supported by a server-based<br />
workflow engine, instead of distributed workflows in<br />
scattered applications. “The easy access to a wealth<br />
of data in the new Data Factory,” Mr. Al-Qaoud says,<br />
“will give us the ability to make better-informed,<br />
production-related decisions from a shared<br />
Mr. Bader Nasser Al-Qaoud, Team Leader of KOC’s<br />
Production Support Gas group, is responsible for gas<br />
field operations, working daily within the company’s fast<br />
decision-making loop.<br />
knowledgebase of validated, trustworthy data.<br />
This will positively impact the speed and quality<br />
of our decisions, and influence every other aspect<br />
of our exploitation strategy going forward.”<br />
Expected safety improvements<br />
Once the intelligent Data Management System<br />
is in place and providing remote, real-time daily<br />
production information, Mr. Al-Qaoud believes<br />
that “safety will naturally improve due, in part,<br />
to the need for fewer wellsite visits, resulting in<br />
less exposure of KOC workers to harmful toxins.”<br />
He expects that “re-purposed visits will be more<br />
common, as checkers will no longer visit the well to<br />
perform mundane production support tasks; they will<br />
have a more high-value purpose to their visits than<br />
just reading dials manually.” n<br />
Mr. Dashti contends, “Many production data<br />
management systems and practices in use today<br />
were not designed for real-time compliance, often<br />
creating a mistrust of data due to poor quality<br />
and unavailability at the time of need.” Mr. Dashti<br />
believes that “the absence of appropriate<br />
workflow tools can lead to missed opportunities<br />
for optimizing production.”<br />
According to Mr. Dashti, “Only a step change in<br />
production workflows and collaboration can ensure<br />
that data, human resources, and software application<br />
requirements are relevant to actual needs.”<br />
Intelligent automation<br />
“The greenfield nature of Jurassic gas field makes<br />
it an ideal candidate for digital field processes and<br />
technologies,” says Mr. Dashti. “However, this high<br />
pressure, high temperature (HPHT) gas field is<br />
geologically complex. It has fluids in near-critical<br />
condition with elevated concentrations of H 2<br />
S and<br />
CO 2<br />
. ”Mr. Dashti’s goal is to “maximize ultimate<br />
recovery, maintain production regularity, and<br />
minimize wellsite interventions due to the toxic<br />
nature of the flow stream.” He claims that<br />
”intelligent automation at the wellhead combined<br />
with advanced instrumentation will minimize<br />
HSE exposure of field personnel.”<br />
Interventions at the wellsite will be supported<br />
by handheld PDAs embedded with work orders.<br />
His Field Development Gas group will also use<br />
new digital field work processes supported by<br />
state-of-the-art collaboration rooms. These facilities<br />
enable proactive, real-time decisions to be made in<br />
accordance with the field’s exploitation strategy. Mr.<br />
Dashti asserts, “It is now possible to quickly<br />
leverage multidiscipline competencies that can<br />
easily contribute in real time to production<br />
operations, instead of conducting long-term studies<br />
and reviews.”<br />
Exploitation strategy—<br />
goals and implementation<br />
Mr. Dashti describes the field’s exploitation strategy<br />
as “concurrently maximizing the production of<br />
individual wells while minimizing the liquid<br />
drop-out in the reservoir. This will maximize<br />
reserves recovery, leading to a new paradigm<br />
in resource management.”<br />
“An ‘intelligent’ Data Management System,”<br />
says Mr. Dashti, “will eliminate the risk of<br />
non-validated data and inefficiencies of data<br />
retrieval and utilization. We want to achieve<br />
production regularity, aided by our highly<br />
instrumented wells that not only address the<br />
acquisition of well and reservoir data,<br />
but also capture additional information—<br />
such as sour and flammable gas detection<br />
and video images—that directly feeds into<br />
work routines governing loss prevention<br />
activities.” This is a big step toward improved<br />
safety conditions.<br />
Mr. Dashti says, “Using the new collaboration<br />
rooms for multi-disciplinary decision-making<br />
will help align individuals with pre-defined<br />
rules of the exploitation strategy. The active<br />
participation of team members also ensures<br />
that rules are modified, as needed, during<br />
field maturity.”<br />
The implementation of SIS smart tools is “helping to<br />
achieve production regularity via an integrated<br />
network model enabling production technologists to<br />
generate what-if scenarios and set the rules for<br />
routines to control automatic chokes. This prevents<br />
weak wells in tight areas of the reservoir from being<br />
overwhelmed by the wells in densely fractured<br />
areas.” Furthermore, features like alarms embedded<br />
in the Avocet Production Surveillance system allow<br />
problems to be flagged and mitigated proactively.<br />
The intelligent Data Management System supports<br />
Mr. Dashti’s goals by democratizing data, so that<br />
raw data is transformed into the right information<br />
and pushed to the target audience in a reliable and<br />
efficient manner.<br />
“Trustworthiness is a key requirement for real-time<br />
production optimization. It is absolutely necessary<br />
to have validated and conditioned data, as it will<br />
ensure cross-discipline collaboration is functioning<br />
at a high level. Viewing reliable data simultaneously—<br />
whether or not the decision makers are in a single<br />
collaboration room—is a KOC initiative destined to go<br />
beyond just this one gas field. n<br />
Mr. Qasem Dashti, Team Leader of KOC’s Field<br />
Development Gas group, is mainly involved in production<br />
optimization and well performance issues, working daily<br />
within the company’s medium decision loop.<br />
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