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					  Nov-09
NOTES:

           The papers listed here have been obtained by search SPE and IPTC papers post 2005 on the SPE's OnePetro
           The papers relating to reservoir engineering have been catergorised for inclusion on the   reservoirengineering.org.uk website
           The affiiations searched were;

                                                                    Total No Papers     Reservoir Engineering Related
                      BP                                                   551                      175
                      Shell                                                575                      279
                      Chevron                                              482                      238
                      ConocoPhillips                                       191                       68
                      Marathon                                             55                        37
                      Total                                                255                      129
                      Schlumberger                                        1130                      563
                      Imperial College, London                             95                        53
                      Heriot Watt University, Edinburgh                    235                      175
                      (Anywhere in Article)
                                                      Total               3569                          1717



                      Total number of papers published post 2005 =             10,000

                                                                   35% of papers published categorised
                      Paper
Organisation   Source No.          Chapter
MARATHON        SPE    105982   Reservoir Modelling


CHEVRON         IPTC    11489   Reservoir Modelling
SCHLUMBERGER     SPE   101138   Reservoir Modelling
CHEVRON          SPE   103258   Reservoir Modelling
SCHLUMBERGER     SPE   107907   Reservoir Modelling
      Section                     Subject
Dynamic Material Balance


    Material Balance       Complex Dynamic Behaviour
    Material Balance       Complex Mature Reservoirs
    Material Balance                  P/Z
    Material Balance        Uncertainty Management
                                            Title
Material Balance Revisited


Capturing Complex Dynamic Behaviour in a Material Balance Model
Material Balance Analysis in Complex Mature Reservoirs - Experience in Samarang Field, Malaysia
A Straight Line p/z Plot is Possible in Waterdrive Gas Reservoirs
Pressure and PVT Uncertainty in Material-Balance Calculations
                               Author                                    Abstract
K.P. Ojo, Marathon Oil Company, and S.O. Osisanya, U. of Oklahoma        Abstract The material balance is a very important

Jalal Mazloom and Mike Tosdevin, SPE, Sasol Petroleum International,
and Dominique Frizzell, Bill Foley, and Mike Sibley, SPE, Chevron      Abstract Sometimes a simple and quick material b
                                                                       Abstract In this SPE, we present the results of a m
T. Bui, SPE, Schlumberger; M. Bandal, SPE, and N. Hutamin, SPE, Petronas; and A. Gajraj,paper Golden Eagle Intl.
M. Elahmady, Chevron, and R.A. Wattenbarger, Texas A&M U.              Abstract Field data and simulated models have rev
Carlos A. Garcia and Jose R. Villa, U. Central de Venezuela            Abstract Original Oil In Place (OOIP) calculations b
al balance is a very important part of the reservoir engineer’s toolbox that is being relegated to the background in today’s reservoir ev


 a simple and quick material balance method is preferred to using a numerical simulation model. This preference can be justified when prepa
r we present the results of a material balance study for a mature field in East Malaysia. The field consists of several stacked sands and is hig
nd simulated models have revealed that in some cases waterdrive gas reservoirs can be mistakenly misidentified using material balance me
n Place (OOIP) calculations based on material balance methods are strongly influenced by data uncertainty. Although some research is ava
ackground in today’s reservoir evaluation workflow. This paper examines some issues that normally preclude its regular use especially a


 eference can be justified when preparing the development plan and production optimization for a collection of hydrocarbon reservoirs (lean a
 s of several stacked sands and is highly faulted resulting in a complex system of several compartmentalized reservoirs. The drive mechanis
 identified using material balance methods as depletion drive gas reservoirs causing a significant overestimation in gas reserves. The famou
ainty. Although some research is available in literature usually the effects of data uncertainty on material balance calculations are rarely cons
 preclude its regular use especially as a pre-step before moving into full reservoir simulation and the use of a new method of analyzing the m


 ion of hydrocarbon reservoirs (lean and rich gas condensate oil rim and gas cap) some connected to an aquifer and the reservoirs cannot
alized reservoirs. The drive mechanisms of these reservoirs range from strong gas cap drive to strong water influx or combinations of these.
 timation in gas reserves. The famous straight-line plot of p/z vs. Gp has been traditionally used to estimate original gas in place (and gas res
   balance calculations are rarely considered and quantified in most studies. This work presents an approach to properly quantify and account
e of a new method of analyzing the material balance equation called the dynamic material balance method for solving some of these issues.


n aquifer and the reservoirs cannot be modelled separately. This situation can occur when multiple gas reservoirs are needed to be develop
ater influx or combinations of these. Fourteen material balance models were built and the results analyzed. This study shows that proper inte
ate original gas in place (and gas reserves) for depletion-drive gas reservoirs. A gas reservoir in contact with an aquifer in transient phase (u
ach to properly quantify and account for the impact of reservoir pressure and PVT data uncertainty on material balance calculations under di
 od for solving some of these issues. The dynamic material balance method allows the simultaneous determination of the initial oil-in-place (N


  reservoirs are needed to be developed in order to provide enough gas for a particular project. A significant drawback of this modelling appro
 ed. This study shows that proper integration of all pressure production and geological data is critical in defining reservoir compartmentalizati
  with an aquifer in transient phase (unsteady-state) and producing under a certain production schedule can plot as a straight-line on a p/z plo
material balance calculations under different drive mechanisms and using different material balance methods. This study allows reservoir eng
ermination of the initial oil-in-place (N) or initial gas-in-place (G) ratio of initial gas to oil (m) reservoir permeability (K) or skin factor (S) and


 ant drawback of this modelling approach is the simplification introduced when a single tank model (Material balance method) is being used in
defining reservoir compartmentalization and in analyzing the results of material balance (MB) analysis. In particular analysis of the reservoir
can plot as a straight-line on a p/z plot masking the existence of an active aquifer and causing a significant overestimation in gas reserves. T
hods. This study allows reservoir engineers properly select the most suitable material balance method when uncertainty on reservoir pressur
ermeability (K) or skin factor (S) and average pressure history of a reservoir from the combination of solution to the material balance equatio


erial balance method) is being used instead of a fine grid simulation model. The material balance method assumes every well contacts all hyd
n particular analysis of the reservoir production behavior and the fluid contact movement over time is essential in narrowing the uncertainty in
ant overestimation in gas reserves. The authors in this paper simulate synthetic cases of gas reservoir/aquifer models using a forward mode
 hen uncertainty on reservoir pressure and PVT data is significant. In this work two different methodologies are proposed. First a sensitivity
ution to the material balance equation and pressure transient analysis theory. Cumulative production history and PVT data of the reservoir ar


d assumes every well contacts all hydrocarbons and that geological heterogeneity is not a factor in recovery. It is necessary to know how reli
 sential in narrowing the uncertainty in the parameters used in the model. In building the MB model two new techniques were proposed and s
aquifer models using a forward model and an inverse model that were programmed in visual basic to show that the combination of certain ra
gies are proposed. First a sensitivity analysis was conducted using generated realizations of reservoir pressure and PVT data to evaluate the
tory and PVT data of the reservoir are used with limited or no pressure data. By introducing a time variable into the classical material balanc


very. It is necessary to know how reliable are final gas and condensate recovery factors and gas condensate and water production profiles p
new techniques were proposed and successfully used: moving linear regression for generating the input pressure for the MB model produc
ow that the combination of certain rate schedules and the unsteady state nature of aquifers can cause a straight-line p/z plot in waterdrive ga
ressure and PVT data to evaluate their effect on material balance calculations. Second a more robust approach was proposed using experim
able into the classical material balance equation (MBE) and


nsate and water production profiles predicted by a material balance model. I
ut pressure for the MB model production-derived relative perm
 straight-line p/z plot in waterdrive gas reservoirs. The authors
 pproach was proposed using experimental design and analysis of vari