News from EAGE Local Chapter London

1. January 21
Local London Chapter Newsletter
January 2021

2. Geography – who we are? - 3
September Evening Talk Review - 4
October Evening Talk Review - 5
November Evening Talk Review - 6
Future Events - 7
January 21 EAGE Local London Chapter Newsletter 010 2
Contents Page
Join Us! We are seeking volunteers to join the EAGE Local
Chapter committee, give talks and help organise events in
2021. If you are interested in joining us or to find out more
information, please contact the committee at
eagelclondon@gmail.com
Image designed by vectorjuice / Freepik

3. January 21 3
Geography – who we are?
From August to December 2020 we had 3 online evening lectures organised,
attracting a global audience
How many we are? 341 registered attendees on Eventbrite (about 1/2 attended events)
Date
Registered
attendees
EAGE Local London Chapter Newsletter 010

4. January 21 4
September Evening Talk Review
After a break from our schedule in August, our
evening lecture this September was delivered
online by Camille Cosson of Emerson.
Camille presented an integrated reservoir
engineering workflow that was developed at her
company. This Big Loop automated solution
accounts for multi-domain processes including
seismic imaging, velocity modelling, time-depth
conversion, petrophysical, geological and
seismic interpretation as well as lab-tests, and is
aimed at reducing the risk and optimising the
cost of field development.
Uncertainties of reservoir structure, rock types,
rock petrophysics and fluid properties are
estimated and matched with production history
using machine learning algorithms and
contributions from the individuals of a multi-
disciplinary asset team utilising a true
collaborative approach. Once established and
optimised, the loop can be run many times to
sample the solution space and estimate the
uncertainties and then assess the risks.
The reaction of the uncertainty on changes to
the specific model parameters is fed into the
machine learning algorithm for training. The
trained algorithm is able to produce an
internally consistent reservoir model that will
match the production history. Once the suitable
model is produced it can be used for predictions
of possible scenarios of reservoir evolution. This
workflow is software agnostic and can be
implemented as a combination of different
independent packages that work in batch mode
and simply exchange their outputs. Hence, it is
suitable for clouds and clusters leveraging their
enormous scalability.
The synthetic case study where the reservoir
model was calibrated with production history
and 4D seismic illustrated the power of the
presented workflow in narrowing the posterior
uncertainty range in localisation of the faults
and lithological contacts and obtaining the
water saturation values. More details can be
found in Taha et al. (2019) History Matching
Using 4D Seismic in an Integrated Multi-
Disciplinary Automated Workflow. Society of
Petroleum Engineers. Doi.10.2118/196680-MS.
The presentation was followed by a Q&A session
were specific aspects of the machine learning
approach and possible incorporations of
different datasets were discussed.
EAGE Local Chapter also acknowledges Artem
Kashubin of PetroTrace, Bingmu Xiao of CGG,
Lok Lee of Schlumberger, Celina Giersz of
Shearwater and, of course, Camille Cosson of
Emerson for arranging this event.
Short notes on our September webinar are
published in First Break:
https://issuu.com/eage/docs/fb20_20novembe
r_issuu/18
This presentation was not recorded.
Leveraging geophysics to reservoir engineering automated workflows combined with
machine learning to mitigate production risks
Camille Cosson, Emerson (24 September 2020)
Global geographic footprint of the registered attendees, 24 September 2020
EAGE Local London Chapter Newsletter 010

5. Our evening lecture this October was again
delivered online, this time by Charlotte Bishop of
Kongsberg Satellite Services (KSAT) who is
based in Tromsø, Norway.
Charlotte told us about the modern capabilities
of earth observations for geological and
engineering applications. Her specific focus was
on terrain and sea using hyperspectral and
multispectral analysis.
The spectral range of the latest multi-sensory
instruments on the orbit is much wider than the
human eye can perceive – it expands the
horizons for deeper insights. Longer wavelet
radar measurements make mapping possible
even through the clouds, vegetation and, in some
cases, through the first metres of the ground.
On-demand hyperspectral measurements can
detect and monitor oil spills on water or land,
green house gas emissions and concentrations,
soil subsidence due to mining or construction
works. They might be used for lithological
mapping, reconnaissance, prospecting, fracture
mapping, discovering deposits as well as in the
oil and gas upstream and downstream phases.
The range of the applications is ever expanding,
so is the market for the remote sensing
technologies. Impressed by the scope, breadth
and resolution of the presented satellite imagery,
the audience was very active during the Q&A
session asking about trends, tricks and
limitations of satellite-based remote sensing in
geoscience.
This talk was the sixth webinar organised by
EAGE LC London in 2020. In the lockdown world
these online meetings have been able to
substitute for live networking events and even
brought a somewhat wider, global audience into
our LC activities. We also attended and co-
organised online events with other LC’s and
Special Interest Groups of EAGE, expanding the
network across the usual offline perimeter.
EAGE Local Chapter also acknowledges Artem
Kashubin of PetroTrace, Bingmu Xiao of CGG, Lok
Lee of Schlumberger, Celina Giersz of Shearwater
and, of course Charlotte Bishop of Kongsberg
Satellite Services for facilitating this event.
Short notes on our October webinar are
published in First Break:
https://issuu.com/eage/docs/online_fb_dec/17
Recording on YouTube:
https://www.youtube.com/watch?v=3ebSiVdb0
Zs
Putting the EO into gEOlogical applications
Charlotte Bishop, Kongsberg Satellite Services (29 October 2020)
January 21 5
October Evening Talk Review
EAGE Local London Chapter Newsletter 010
Global geographic footprint of the registered attendees, 29 October 2020

6. Effective Seismic Reservoir Characterisation - A Rock Physics Approach
Nick Huntbatch, Ikon Science (26 November 2020)
January 21 6
November Evening Talk Review
Our November evening lecture was presented
online by guest speaker Nick Huntbatch,
quantitative interpretation product manager at
Ikon Science.
During the webinar Nick told us about the
modern use of powerful seismic reservoir
characterisation techniques to enhance details of
both the sub-surface architecture and its
petrophysical properties.
The understanding of rock physics is based on
well data that after quality control and
conditioning are used for petrophysical
interpretation of distinct lithofacies units.
Upscaling is required for building impedance and
amplitude models of the subsurface. The
response from these models is then compared
with the surface seismic data. The elastic
properties and AVO response for different
saturations are estimated with some uncertainty
dependant on seismic bandwidth, available angle
range, noise and rock property overlap. The prior
knowledge of facies and per-facies rock physics
trends is a key link between geology and
geophysics that allows predicting the subsurface
and capturing uncertainty in geological properties
and in the data.
Short notes on our November webinar are published
in First Break:
https://issuu.com/eage/docs/online_fb21_jan/20
Recording on YouTube:
https://youtu.be/h-GSNZyp2ek?t=12
The rock physics driven approach facilitates a
better understanding of reservoir geometry and
plumbing , and ultimately provides the gateway to
building better, more accurate property models of
the subsurface.
This lecture was the seventh webinar organised
by EAGE Local Chapter London in 2020 attracting
a global audience to our online activities.
EAGE Local Chapter also acknowledges Artem
Kashubin of PetroTrace, Bingmu Xiao of CGG and
Lok Lee of Schlumberger, Celina Giersz of
Shearwater and, of course, Nick Huntbatch of
Ikon Science for organising this event.
EAGE Local London Chapter Newsletter 010
Global geographic footprint of the registered attendees, 26 November 2020
Image credit: Ikon Science

7. January 21 7
Join Us, Online! For Future Events
7
Please Register for all events at Eventbrite.co.uk and for more
details go to ‘EAGE Local Chapter London’ LinkedIn Group.
EAGE Local London Chapter Newsletter 010
Further updates on 2021 lectures will be announced in due course
Pre-stack signal enhancement via local coherent stacking