Karena aku ngga bisa dateng aku sharing papernya Rob Simm yg berhub dengan 
discovery of Buzzard ini ...
kalo ada yg dateng sharing donk ..

aku cuplik dikit dari kalimat dibawah :

"So, what of Buzzard Field?. It cannot be denied that the decision to 
drill was seemingly based purely on a geological model, mass flow sands 
dumped in a graben and pinching out up dip to the west. A risky model in 
anybody's book, and many companies (most of which no longer exist) decided 
to give the area a wide berth."

rdp
======

Amplitudes, Risk and all that Geophysical Malarkey
Rob Simm1, Andrew Armour2 and Martyn Millwood Hargrave2, 1Rock Physics 
Associates Ltd, 2IKON Science Ltd 

11th February 2003, Burlington House, Geological Society, London
PESGB London Evening Meeting

'There was no geophysical malarkey involved in finding the Buzzard field' 
said Graham Dore in his PETEX presentation last December. He was right of 
course as we shall discuss later, but 'malarkey', meaning humbug, 
foolishness or nonsense, is an interesting, if not telling, choice of 
word. We take it to mean that in this instance there was some satisfaction 
in being spared the frustration and agony of incorporating geophysical 
information into the decision to drill that on previous occasions has 
proved confusing and even misleading. The loud cheer from the audience 
showed that he had made an almost visceral connection with the gathered 
brethren.

It points to a significant problem in the industry. The problem is that 
although it is recognised that seismic may in certain situations show 
effects that are related to the presence of hydrocarbon (and if they are 
recognised as such they may be used to lower the perceived risk), the 
practice of using seismic information as an input to drilling decisions is 
not uniformly good or pleasant for all.  In our opinion there is a good 
deal of 'malarkey' going on, particularly when unrealistic claims are made 
for the significance of amplitude information. Guarding against such 
'malarkey' is the subject of this talk.

Amplitude (DHI) interpretation
The term 'amplitudes' is used here in a general sense to cover all 
interpretation based on reflection seismic and its derivatives (so it 
includes full and partial  stack interpretation, AVO analysis and 
(elastic) inversion) and attribute derivatives. In reflection seismic the 
acronym DHI (Direct Hydrocarbon Indicator) is generally used within the 
industry to denote an effect on reflection seismic data that can be 
attributed to the presence of hydrocarbon. DHI's commonly comprise (but 
are not limited to)

Single or associations of reflection signatures (pre and post stack, 
bright spots dim spots, phase reversals) or impedance characteristics 
linked to the effects of hydrocarbon via rock physics models 
down dip limit/termination or structural conformance of amplitude 
flat spots 
The criteria for the use of the term DHI for a recognised seismic effect 
are in fact quite stringent but are often applied recklessly or foolishly. 
 A clear consistency has to be shown between the observed attributes and a 
rock physics model that illustrates a likely hydrocarbon interpretation. 
In addition consistency between the signature and other expected effects 
predicted by the model needs to be evaluated but very often are not. It is 
too easy to neglect other plausible causes for the effects as they may not 
lead to a viable prospect ? the human mind appears to be constantly 
engaged in a creative search of corroborative evidence for its favoured 
hypothesis.

There are a whole host of reasons why we can get the interpretation wrong. 
These include: 
non-uniqueness of the effects ? (ie other geological scenarios are 
responsible, eg high porosity or low gas saturation) 
seismic polarity is misinterpreted there are interpretive problems with 
seismic data acquisition and/or processing 
the model fails (ie the assumption that seismic can be approximated as the 
convolution of a wavelet with a reflection series determined from 
elastic/isotropic rock properties is wrong). Anisotropy plays a role in 
giving a 'false positive' indicator. Given the practical problems of 
parameterising anisotropic models we currently don't know enough about how 
often this actually happens. 

Amplitudes in the Risking Context
Clearly if a verifiable DHI is present on a prospect then it is possible 
that the risk on the prospect may be considerably reduced relative to a 
standard geological risk either by utilising the DHI evidence within a 
probabilistic risking scheme or, possibly more dangerously, by using it to 
override the risking scheme. There are pitfalls, however, at almost every 
level of the process. One pitfall is that the DHI interpretation tends to 
be invoked too readily, for example when there has been no play specific 
corroboration through modelling or direct analogy of the effect(s) under 
question. What is more, in these situations the term DHI implies more 
certainty of hydrocarbon presence and a much narrower range of outcomes 
than is warranted (Citron and Rose 2001). Loose thinking combined with big 
promises can be a fatal combination!. Equally fatal is the confidence 
trick where we are blinded by the elegance of the positive model, how can 
it possibly fail? 

There is always a risk in DHI interpretation in exploration (as some of us 
know from bitter experience) and we must get away from the idea that if 
DHI's really worked there would be no need for risking. Many companies and 
individuals follow this 'silver bullet' idea and it is no surprise that 
the DHI approach moves rapidly in and out of fashion. It is better to 
think of the Casino analogy (Rose 1999), in which we hope to stack the 
odds in our favour over a certain period of time with a portfolio that is 
risked appropriately. We wont know necessarily which particular wells will 
come in but over the life of the portfolio we believe that an appropriate 
use of use of amplitude information will put us ahead. Companies that 
cannot afford another dry hole should hope for lady luck.

The relationship between DHI's and exploration risk is neatly illustrated 
by the classic example of the Yegua trend in the Gulf of Mexico. This is a 
mature gas play comprising shallow high porosity sands that give bright 
spots on stacked sections and increasing amplitude with offset on 
pre-stack gathers (shale/brine sand reflections generally show opposite 
polarity and decreasing amplitude with offset).  84 wells that were 
drilled on 'AVO anomalies' were documented in a study by Allen et al 
(1993). The commercial success rates improved dramatically, from around 
5-10% to 50%, when AVO techniques were employed (using 2D seismic data). 
Clearly the DHI's and associated risks described above are specific to the 
Yegua play and it would be foolhardy to take these particular DHI's and 
expect them to work in a similar way in different types of plays for 
example West of Shetlands. However you could argue that on plays less 
mature than the Yegua the likely chance of success associated with DHI's 
must be considerab
ly less than 50%.

In the North Sea, most of the oil fields have been found without the 
explorations being driven by amplitude information. There are numerous 
examples of interpreters spotting the critical seismic DHI but 
misinterpreting it. Later field studies bring to light the real 
interpretation. What is certain is that amplitude technologies are now 
adding considerable value in field development, owing to the high degree 
of calibration available.  On the basis of bottom line benefit Time-Lapse 
Seismic techniques, underpinned by thorough rock physics, have become 
established practice in many of the larger oil and gas companies within 
the last 5-6 years.

Whilst the challenge is always there to use the lessons from the fields to 
drive the exploration models in partially explored basins, in these 
situations it is easy to convince ourselves that we know more than we 
actually do. Very often if a well is available there is a tendency to 
believe that it contains all that is necessary for calibration (including 
all likely variability). Our problem then is to ask ourselves 'what is the 
likelihood that the model will hold over the prospect area?'. In some 
cases significant changes can occur to invalidate close well control 
whilst in other situations a well 50km from the prospect may be entirely 
relevant.

Calibration is clearly the key to the application of DHI's in risk. Our 
models are only as good as the data on which they are based. In virgin 
basins where there is stratigraphic uncertainty and no calibration it may 
be completely unrealistic to try and apply DHI's in the risking process. 
In such areas conventional AVO analysis can give us an idea of the degree 
to which different responses are anomalous but it cant tell us how likely 
a particular seismic effect will be related to hydrocarbon rather than for 
example a high porosity brine sand (or any other as yet undefined 
lithology combination for that matter). At best (and if you are lucky 
enough to have a number of potential prospects) it can be used as a 
ranking tool. 

Assigning risk to DHI's
Very often we don't have the statistics to support the risks applied to 
DHI's, usually because we are trying to apply the techniques in non-mature 
areas. And when it comes down to it, whichever way you assign a risk 
significance to DHI's it is highly subjective. Fundamentally it depends on 
the level of knowledge of the play and an understanding of the particular 
DHI characteristics of the target. With greater knowledge of the play the 
vagaries of the DHI signature (and its relationship to factors such as 
data quality) are likely to be more completely understood.  Two companies 
may recognise the same seismic effects but place different significance on 
them simply because of differences in the understanding of the play. In 
the Yegua example noted above 10 out of 84 prospects had a questionable 
DHI (Allen et al 1993).

Many companies have attempted to formulate a way of incorporating 
seemingly meaningful geophysical observations into risking systems to aid 
the decision process. One approach is to use the seismic to give a chance 
of success factor which can then be compared to a traditional risking 
approach. A generic (and non-specialist) approach might be to use the risk 
matrix idea of Citron and Rose (2001) but in which the axes are related to 
the knowledge of the play (in terms of the seismic responses of lithology 
and fluid, calibration if you like) and the confidence in the recognition 
of the DHI(s). A questionnaire for each component would help arrive at the 
appropriate position on the matrix. Chance of success values will be 
specific to a particular play for a given range of analytical techniques.

Figure 1. An example of a chance of success matrix based on DHI's.  Note 
that each matrix is specific to a particular target in a specific play.

As well as evaluating the value of a DHI in the possible lowering of risk 
we also need to address the significance of a lack of a DHI in a situation 
where one would be expected (ie where we might use the lack of a DHI to 
increase the risk). Interestingly, examples of 'false negatives' (ie 
discoveries where there is no DHI but with the given data quality one 
would be expected) are thin on the ground.

Buzzard and the idea of play development
So, what of Buzzard Field?. It cannot be denied that the decision to drill 
was seemingly based purely on a geological model, mass flow sands dumped 
in a graben and pinching out up dip to the west. A risky model in 
anybody's book, and many companies (most of which no longer exist) decided 
to give the area a wide berth. The seismic gives only general information 
on stratigraphy as it is contaminated with multiples of different 
varieties. Subsequent analysis of the pre-stack seismic, coupled with a 
rock physics model based on the dry well down dip, perhaps surprisingly 
does show attributes that appear to be related to the presence of 
hydrocarbon, possibly even indicating a down dip limit for 2 prominent 
sand prone intervals. 
Whether or not the attributes described from Buzzard are convincing enough 
to have been used reliably in a predictive manner prior to the Buzzard 
discovery well or whether they provide a way of predicting further oil 
pools in the same play is a question that many are now trying to answer. 
Certainly given these results and the experiences from other North Sea 
fields, there is a huge incentive to unravel the signature of the oil 
filled sands and there is likely to be a role for calibrated amplitudes in 
extracting even greater value from the Buzzard field development.

Ways forward with amplitude interpretation
Probably the most important element in guarding against geophysical 
malarkey is a cross-discipline understanding of what amplitudes can and 
can't do for us. Non-specialists (i.e. most geophysicists, geologists and 
increasingly managers and engineers) need to be able to ask the right 
questions to put the seismic information into context. This would help 
communication and ensure that the geophysical interpretation is done in 
the most rigorous way possible. This technology transfer can only happen 
if:

There is a greater general understanding and access to seismic analysis 
techniques linked to calibration methods, including rock physics, and 
their limitations 
There is access to a knowledge database of previous examples, the good, 
the bad and the downright ugly. 
Established training courses can go some way to achieving this, but 
fundamentally there has to be an active mind-set within each company to 
synthesise past experiences into 'learnings' that are made available to 
those who need them. The value of the knowledge data base should not be 
underestimated and it is never too late to begin the process of developing 
it. What is not enough is for the geophysical priesthood to simply write 
guidelines and prescribe expert -authorised workflows. They do not ensure 
communication and in the worst cases can actually stop people thinking.

References
Allen, J.L, Peddy, C.P. and Fasnacht, T., 1993. Some AVO failures and what 
(we think) we have learned. The Leading Edge, March.
Citron, G.P., and Rose, P.R., 2001. Challenges with amplitude-bearing, 
multiple zone prospects. The Leading Edge, August.
Rose., P.R., 1999. Taking the risk out of petroleum exploration; the 
adoption of systematic risk analysis by international corporations during 
the 1990's. The Leading Edge, February.




"Titi Tabusalla" <[EMAIL PROTECTED]>
18/02/2003 08:43 AM
Please respond to fogri

 
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        Subject:        [fogri] TODAY IPA TALK!!!




IPA PROFESSIONAL DIVISION

LUNCHTIME TALK

DATE : Tuesday, February 18, 2003 
TIME : 11:45 Hrs.
VENUE: Golden Ballroom, Jakarta Hilton International
Subject: "Amplitudes, Risk and all that Geophysical Malarkey"
Speaker: Martyn Millwood Hargrave1, Dr. Rob Simm2 and Dr. Andrew Armour1




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