Frederic Roggero - Academia.edu (original) (raw)

Uploads

Papers by Frederic Roggero

$Research paper thumbnail of Foam processes in naturally fractured carbonate oil-wet reservoirs: Technical and economic analysis and optimization$

Journal of Petroleum Science and Engineering

Transport in Porous Media

Spe Reserv Eval Eng, 2004

Our purpose is to evaluate the benefit of using time-lapse seismic in addition to production hist... more Our purpose is to evaluate the benefit of using time-lapse seismic in addition to production history for reservoir characterization. A new inversion methodology, based on the gradual deformation method, has been developed to integrate simultaneously different sources of information like 4D seismic related data and production data. This methodology was successfully validated on a geologically realistic 3D synthetic reservoir model. An optimization procedure was developed to identify reservoir models consistent both with a first 8 year period of production data and 4D seismic related data. It is based upon two complementary numerical tools developed at the IFP: the FFT-MA generator and the gradual deformation method. The first one generates stochastic realizations for the reservoir model. The second one allows us for perturbing the realizations from a small number of parameters while preserving the spatial variability model. The optimization process was repeated starting from different initial reservoir models. The predictive quality of the constrained reservoir models was estimated comparing the simulated forecasts and the reference data for a second 8 year period of production data. The proposed inversion method proved its efficiency for constraining geostatistical reservoir models to different sources of data. It is shown that conditioning reservoir models to saturation changes in addition to production data allows for improving significantly the reliability in the production forecasts. Introduction One of the most challenging fields in reservoir engineering is about the integration of all available data for the characterization of reservoirs and the reduction of uncertainties in oil &gas production. In this paper, we focus on the identification of permeability and porosity distributions in heterogeneous and multiphase petroleum reservoirs by matching the observed dynamic behavior. During the field life, a large quantity of data, called dynamic data, are collected. Dynamic data traditionally involve production history, water cuts, gas oil ratios… Since the late nineties, they also consist of 4D seismic data, that is repeated 3D seismic acquisitions. 4D seismic is a potentially powerful source of data for reservoir monitoring since it provides information on large areas. As far as data are collected and processed adequately, the differences between the seismic data sets collected at successive times should inform about the spatial distribution of saturation and pressure changes due to fluid production or injection. A great deal of work has been dedicated to the conditioning of reservoir models to production data, e.g. [1,2,3,4,5,6]. A few papers are also referenced in the literature as for the use of 4D seismic related data in addition to the traditional production data. Basically, two kinds of approaches can be distinguished:The first approach (Figure 1) uses interpreted 4D seismic data [7,8,9,10,11]. The seismic data are interpreted in order to directly point out the changes of fluid saturation, impedance or elastic properties between the surveys. Then, the inversion process needs only one forward simulator: a fluid flow simulator.The second approach (Figure 2) does not use any kind of interpreted seismic data [12,13,14]: the seismic data are just another set of matching data. Thus, the inversion process includes not only a fluid flow simulator, but also a forward seismic wave propagation simulator.

SEG Technical Program Expanded Abstracts 2005, 2005

SPE Annual Technical Conference and Exhibition, 2013

A successful polymer flood is being implemented in the Pelican Lake heavy oil field located in No... more A successful polymer flood is being implemented in the Pelican Lake heavy oil field located in Northern Alberta (Canada). With primary recovery around 5-7 % and several billion barrels OOIP, the field offered a big target for EOR but polymer flooding had never been considered in such high viscosity oil (600 to 80,000cp) until the idea of using horizontal wells gave way to a very successful 5 horizontal wells polymer flood pilot in 2005, followed by a progressive extension to the rest of the field. This paper provides a brief description of the polymer flood pilot then focuses on the various steps involved to generate a realistic reservoir model to history match the pilot. Polymer flooding in heavy oil reservoirs (1500 cp oil in the pilot area) using horizontal wells is really new and the response of the pilot was not totally expected. The oil rate has increased beyond expectations but more surprisingly, the water-cut has increased very slowly and is only in the 50-60 % range after 7...

Earth Science Frontiers, 2008

The increase in computer power and the recent developments in history-matching can motivate the r... more The increase in computer power and the recent developments in history-matching can motivate the reexamination of previously built reservoir models. To save the time of engineers and the CPU time, four distinct algorithms, which allow for rebuilding an existing reservoir model without restarting the reservoir study from scratch, were formulated. The algorithms involve techniques such as optimization, relaxation, Wiener filtering, or sequential reconstruction. They are used to identify a stochastic function and a set of random numbers. Given the stochastic function, the random numbers yield a realization that is close to the existing reservoir model. Once the random numbers are known, the existing reservoir model can be submitted to a new history-matching process to improve the data fit or to account for newly collected data. A practical implementation is presented within the context of facies reservoirs. This article focuses on a previously built facies reservoir model. Although the simulation procedure is unknown to the authors, a set of random numbers are identified so that when provided to a multiple-point statistics simulator, a realization very close to the existing reservoir model is obtained. A new history-matching procedure is then run to update the existing reservoir model and to integrate the fractional flow rates measured in two producing wells drilled after the building of the existing reservoir model.

ECMOR V - 5th European Conference on the Mathematics of Oil Recovery, 1996

Numerical models are routinely used today to analyze the performance of hydrocarbon reservoirs. H... more Numerical models are routinely used today to analyze the performance of hydrocarbon reservoirs. However, the fit of the historical data has to take into account the initial geological knowledge to provide physical production forecasts, even if reservoir parameters are inherently uncertain over large parts of a field. This artiele proposes a methodology to obtain an improved grid representation of the geological parameters and to quantify uncertainties after history matching. The goal is to obtain a physically matched model, taking into account the a priori knowledge of the reservoir. The proposed method is based on the gradient method coupled with an efficient optimization algorithm. An objective function defined as an extension of the least squares technique is introduced as a history matching criterion. A priori information on the parameters is integrated through Gaussian probability density functions. During history matching. a statistical arialysis based on the Bayesian formalism provides a posteriori information on the parameters with reduced uncertainties. For quantifying the uncertainties on production forecasts. an algorithm is used to select directly. from all the possible realizations. extreme behaviour modeis. A production forecasting criterion is introduced to constrain the model in order to produce extreme forecasts belonging to a given probability domain.

IOR 1995 - 8th European Symposium on Improved Oil Recovery, 1995

Copyrig ht 1 98 5, Steering Committee o f th e Euro pea n IOR-Symposium. This paper was presented... more Copyrig ht 1 98 5, Steering Committee o f th e Euro pea n IOR-Symposium. This paper was presented at the 8t h. E uropean I OR-Symposium in Vierm a , Auetri a, M ay 16-1 7, 1995 This paper was selected for prasentation by the Steering Committe e , following review of information contained in en abstract s ub mitte d by the a uthorle►. The pa per, as p resented hes n ot bee n re vfewed by the Bisering Committee.

SPE Annual Technical Conference and Exhibition, 2003

This paper presents an innovative integrated methodology for constraining 3-D stochastic reservoi... more This paper presents an innovative integrated methodology for constraining 3-D stochastic reservoir models to well data and production history as well as a successful application to a real field case. The proposed approach allows to history match complex reservoir models in a consistent way by updating the entire simulation workflow. Advanced parameterization techniques are used to modify either the geostatistical model directly or the fluid flow simulation parameters in the same inversion loop. In a first step, the relevant inversion parameters are selected according to a sensitivity study based on the experimental design technique. In a second step, history matching is performed with the most significant parameters using an automated inversion procedure. In this step, the Gradual Deformation Method (GDM) is used to constrain the geostatistical model while respecting the global model properties. This technique may be combined with gradient based inversion methods in order to history...

EUROPEC/EAGE Conference and Exhibition, 2007

SPE Annual Technical Conference and Exhibition, 2010

ABSTRACT