...History Match Methodology To manage the history matching of a reservoir of this massive scale and maturity, a custom-tailored and efficient sector modeling centered approach was devised, based on the "Divide & Conquer" method [ 5 , 6 , 7 ] in which the full history match problem is divided...

... petrophysical interpretation : This is one of the major challenges met during the history matching process caused by the nature of the formation water properties (fresh-water salinity). Sustainability of oil producers : Most of the producer wells produce by intermittence. To address the water...

... straightforward using upscaling tools in Meera centrum [2] . The Tool was tested on a brown field with +30 years of production history of depletion development followed by waterflood and an existing FDP generated using conventional simulator. Where >50% of the FDP proposed wells were drilled. The outcomes...

... Abstract The identification of the fluid fill history is a necessity for the development strategy of any field, in particular in the Middle East where tectonic history is often reported to affect fluid distribution and contacts in many fields. The fluid fill concept for a low permeability...

... saturation. Significant permeability contrast (areal and vertical) combined with fluid properties gradients (lateral and vertical) are driving the water encroachement to producers defining the complexity of identification of undrained areas. ( Figure 1 ). Production and development history The LTRO...

.... Several analyses were performed using the full field data-driven model; complementing the existing conventional numerical model. The accomplishments of the data-driven reservoir model for this project included, but not limited to, comprehensive history matching (including blind validation...

... The most common problem in reservoir simulation is the non-uniqueness of history matching. Various factors contribute to the total mismatch between observed and simulated data. Reservoir engineers vary lots of variables in order to find a perfect match; however, this approach is too sophisticated...

... Intelligence Reservoir Characterization machine learning Uncertainty envelope Upstream Oil & Gas porosity seismic data History ensemble smoother envelope interpretation workflow production data assimilation ensemble Posterior Ensemble ensemble Kalman filter Modeling & Simulation...

... decline and increasing gas/oil ratio (GOR) and water production. To achieve a fully integrated history matched model, the first step was to make a thorough review of the existing detailed seismic interpretation, vintage production logging tool runs (PLT's), wireline logs (including borehole image logs...

... Modeling & Simulation main structure reservoir pressure Upstream Oil & Gas Hollin reservoir waterflooding Oil Accumulation enhanced recovery basal tena reservoir exploitation philosophy new well water injection facies History Drilling reservoir characterization completion...

...Introduction Abstract We demonstrate how key geological uncertainties in a giant onshore carbonate reservoir in the Middle East, most notably fracture permeability and saturation distribution, impact the quality of the history match and change the performance forecasts of a planned Miscible...

... in the Southern North Sea, started production in 2009 from Upper Carboniferous sandstones, initially from three wells. Since early production history of the field, the p/z plot extrapolation has consistently shown an apparent Gas Initially In Place (GIIP) which was more than 50% higher than the volumetric GIIP...

..., and therefore in need for redevelopment to increase its recovery factor. However, despite the long production history, subsurface uncertainties remain high due to its reservoirs complexity and limited reservoir data. To assess the subsurface uncertainties and their impact on field redevelopment plan, a fine...

... Abstract Power of ensemble based data assimilation methods to history match oil and gas reservoirs has been revealed during the past couple of years by different field application works ( Oliver and Chen, 2011 ). Moreover the achievements in advanced parameterization ( Lorentzen et al. 2011...

... Abstract In this paper, a modified ensemble randomized maximum likelihood (EnRML) algorithm has been developed to estimate three-phase relative permeabilities with consideration of hysteresis effect by reproducing the actualproduction data. Ensemble-based history matching uses an ensemble...

... block History injection strategy fracture simulation model equation injection Introduction Daqing has been the most productive oilfield in China, but oil output from conventional high porosity reservoir dramatically decreases from more than 40 million tons to 36.5 million tons in recent 3...

... movement within the major reservoirs of the Wara–Burgan sequence and the flow between them. The challenges and implemented solutions of history matching a reservoir model of a huge, complex field with multiple production zones, many wells and large volumes of production and surveillance data are described...

... to the gas saturation for the second set, though it is relatively smaller than that of the first set. Upstream Oil & Gas three-phase relative permeability History chop process flow in porous media sand production oil production production data Fluid Dynamics model variable relative...

... Abstract The aim of this work is to present the effectiveness of a fully integrated approach for ensemble-based history matching on a complex real field application. We show that the predictive ability of the ensemble of models is greatly enhanced through an integrated workflow promoting...

... of the system and thus affect the volume and pressure changes of the vugs. Reservoir Characterization Upstream Oil & Gas flow in porous media carbonate reservoir reservoir simulation fractured vuggy carbonate reservoir pore pressure History fracture vug pressure depletion natural fracture...