The current practice for multi-fractured horizontal well development in low-permeability reservoirs is to complete the full length of with evenly spaced fracture stages. Given methods evaluate along-well variability reservoir quality and predict stage-by-stage performance, it may be possible reduce number stages completed a without significant sacrifice performance. Provision demonstration thes...

History matching is the process of updating a petroleum reservoir model using production data. It is a required step before a reservoir model is accepted for forecasting production. The process is normally carried out by flow simulation, which is very time-consuming. As a result, only a small number of simulation runs are conducted and the history matching results are normally unsatisfactory. I...

History matching is an inverse problem of partial differential equation on mathematics. We adopt the constrained non-linear optimization to handle this problem, defining the objective function as the weighted square sum of differences between the wells simulation values and the corresponding observation values. We develop an optimization computing program that include Zoutendijk feasible direct...

Reformulating the history matching problem from a least-square mathematical optimization into Markov Decision Process introduces method in which reinforcement learning can be utilized to solve problem. This provides mechanism where an artificial deep neural network agent interact with reservoir simulator and find multiple different solutions Such formulation allows for solving parallel by launc...

Introduction The purpose of this paper is to summarize the theoretical background of methods that we have attempted to use to determine formation permeability, fracture length, and fracture conductivity in low-permeability, hydraulically fractured gas reservoirs. This summary is intended to emphasize the major strengths and weaknesses of the methods studied. These characteristics have not alway...

State-of-the-art data analysis in production allows engineers to characterize reservoirs using production data. This saves companies large sums that should otherwise be spend on well testing and reservoir simulation and modeling. There are two shortcomings with today’s production data analysis: It needs bottom-hole or well-head pressure data in addition to data for rating reservoirs’ characteri...

the vapor extraction (vapex) process, a solvent-based enhanced oil recovery process has been found promising for some heavy oil reservoirs. in this work, the vapex process is studied using a compositional simulator on a number of single-block and multiple block fractured systems. pvt data of one of an iranian heavy oil reservoir are used to tune the equation of state. effects of fracture spacin...

we use a multi-resolution analysis based on a wavelet transform to upscale a 3d fractured reservoir. this paper describes a 3d, single-phase, and black-oil geological model (gm) that is used to simulate naturally-fractured reservoirs. the absolute permeability and porosity of gm is upscaled by all the possible combinations of haar, bior1.3, and db4 wavelets in three levels of coarsening. the ap...

To perform any economic management of a petroleum reservoir in real time, a predictable and/or updateable model of reservoir along with uncertainty estimation ability is required. One relatively recent method is a sequential Monte Carlo implementation of the Kalman filter: the Ensemble Kalman Filter (EnKF). The EnKF not only estimate uncertain parameters but also provide a recursive estimat...