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    1SINTEF Petroleum Research

    Recent advances in petroleum assessment,Trondheim 19 20 October 2005

    Risk assessment.

    Principles and experiencesKjell ygard

    SINTEF Petroleum Research

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    2SINTEF Petroleum Research

    Risk assessment

    The purpose of risk assessment in petroleum explorationis to estimate the probability of discovery prior to drilling

    of a mapped prospect.

    Play level evaluationCalculation of the economic value of prospectsAssessment of the undiscovered resources in a given area duringplay evaluation.

    Ranking of prospects

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    3SINTEF Petroleum Research

    Risk assessment

    High degree of uncertainty in exploration for oil and gas

    Half of drilled exploration wells are dry

    About 50% of the discoveries are non profitable

    Geologists perform risk assessment in a subjective

    manner

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    4SINTEF Petroleum Research

    Geological risk assessment

    The Geological risk assessment requires an evaluation ofthose geological factors that are critical to the discovery of

    recoverable quantities of hydrocarbons.The probability of discovery is defined as the product of thefollowing major probability factors, each of which must be

    evaluated with respect to presence and effectiveness:Probability of:

    Reservoir

    Trap Hydrocarbon charge

    Retention of hydrocarbons after accumulation

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    The Probability Consept

    1. Pprob. = 1 Prisk

    2. The probability of the simultaneousoccurrence of several independent events isequal to the product of their individualprobabilities. P = Presx Ptrapx PHCx Pret

    3. Given the occurrence of several mutuallyexclusive events, P = Pa+ Pb

    4. The probability of either one or both of twoindependent events can be estimated bycalculating the risk that neither of the eventswill occur. (1-P) = (1 - Pa) x (1 Pb)

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    Oil Prospect Reserve

    Monte Carlo Calculation

    1 ITERATION

    Transform

    ation

    Access

    Sou

    rceArea

    Conver

    tibility

    SealEfficiency

    Gas/O

    ilRa

    tio

    RecoveryF

    ac

    tor

    Volum

    eGasC

    ap

    OilSaturation

    Porosity

    NetTrapVolum

    e

    Minimum

    Most Likely

    Maximum

    Phase

    Form

    atio

    n

    Volum

    e

    Factor

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    Risk vs. Uncertainty

    Risk is the probability that the parameter of interest

    fails to work at the minimum level expected

    Uncertainty is the variation in or the range of

    possible outcomes

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    Prospect Probabilities

    The probability of discovery is a value that is based partlyon objective knowledge and historical data, partly on

    extrapolations and partly on our subjective judgements oflocal geological parameters.

    Post-drill evaluation

    Reliability of the database

    Relevant geological models

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    Reservoir

    Probability of existence of reservoir facies with minimumnet thickness and net/gross-ratio

    Probability of effectiveness of the reservoir, with respect tominimum porosity, permeability and hydrocarbonsaturation

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    Reservoir probability guidelines

    Presence of effective reservoir facies

    Porosity evaluation

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    Trap mechanism

    Probability of presence of the mapped structure with aminimum rock volume as prognosed in the volume

    calculation. Geometrical body.

    Probability of effective seal mechanism for the mappedstructure.

    T m h i m b bilit g id li

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    Trap mechanism probability guidelines

    Structural/stratigraphic complexityregarding rock volume Effective seal mechnism

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    Petroleum Charge

    Probability of effective source rock in terms of theexistence of sufficient volume of mature source rock of

    adequate quality located in the drainage area of themapped structure.

    Probability of effective migration of hydrocarbons from the

    source rock to the mapped structure at the right time.

    Petroleum Charge= Effective drainage area X Thickness

    map X TOC and HI X Transformation X Expulsion XSecondary migration

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    15SINTEF Petroleum Research

    Retention after accumulation

    The probability of effective retention of petroleum in the prospect afteraccumulation

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    16SINTEF Petroleum Research

    Hydrocarbons indicators

    Oil seepage, pockmarks at sea-bottom, gas anomalies inseismic data etc., are all indicators of hydrocarbons being

    present.

    A direct hydrocarbon indicator (DHI) is defined as a

    change in seismic reflection character (seismic anomaly)which is the direct result of the reservoirs fluid contentchanging from water to hydrocarbons.

    Real or false:- Opal A/CT and Opal CT/Quartz

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    17SINTEF Petroleum Research

    Direct Hydrocarbon Indicator

    Rock PropertiesShould See Should not See

    Do See

    Do not See

    DHI- Attribute

    Poor rockproperties model

    Seismic artifact

    No prospect

    Poor seismicquality

    Relay on

    geologicmodells andPetroleum

    System

    Seismic

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    18SINTEF Petroleum Research

    Risk assessment

    Predicted

    Not predicted

    Not predicted Predicted

    Ge

    ophysica

    ldriven

    Geological driven

    Reservoir presence

    Reservoir deliverability

    Seal presence

    Seal capasity

    Source presence

    Access to charge

    Retention afteraccumlation

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    19SINTEF Petroleum Research

    Petroleum Risk Assessment litterature

    http://www.ccop.or.th/projects/RiskAssess.pdf

    Rose, P R, 1987. Dealing with risk and uncertainty in exploration: how can weimprove? AAPG Bulletin, v. 77, no 3, p 319-326

    Rose, P R, 1992. Chance of success and its use in petroleum exploration, in RSteinmetz, ed., The business of petroleum exploration: AAPG Treatise ofPetroleum Geology, Handbook of Petroleum Geology, p 71- 86

    White, D A, 1993. Geologic risking guide for prospects and plays: AAPG Bulletin, v

    77, p 2048-2061Otis, R and Schneidermann N, 1997. A process for evaluating exploration prospects.AAPG Bulletin, v 81, no 7, p 1087-1109.

    Ulmishek, Gregory F., 1986: Stratigraphic aspects of petroleum resourceassessment, in Rice, D.D., ed., Oil and gas assessments Methods andapplications: AAPG Studies in Geology #21, p. 59-68.

    Milton, N. J., and Bertram, G. T., 1992. Trap Styles-A New Classification Based onSealing Surfaces. AAPG Bulletin, v 76, no. 7, p 983-999.