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Artificial Neural Network for Diagnosis and Mitigation of Water Production

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Description

– Artificial Neural Network for Diagnosis and Mitigation of Water Production –

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Abstract

From the inception of the oil and gas industry, water production has always been an aching problem for various operators. Throughout the productive life of a field, oil production is often accompanied with some amount of water production, which in most cases, is so significant and unwanted.

Because of the great operating, environmental and economic challenges associated with excess water production, operators are in search for different methods and tools that could be used to identify the sources of water and prevent or mitigate early water breakthrough in producing oil and gas wells.

In this study, artificial neural network (ANN) models were developed and used as reservoir management tools to proffer solution to mitigate excess water production problems.

Two cases were considered to build and train the network models. In case one, three neural network models were developed and optimized by training with data from only one producing well.

The built network models are called CASNNET1, CASNNET2, and CASNNET3, respectively. In case two, a neural network model called CASNNET4 was developed by using combined data from two producing wells for training, validation and testing.

The neural network models in both cases were developed to predict well water cut with an appreciable degree of accuracy.

Introduction

1.1 Background of the Study

During the production of oil and gas from petroleum reservoirs, water production can come from an adjoining aquifer or from water injection wells in a waterflooding process.

When there is excess water production, there is a cost associated with operating both subsurface and surface production facilities, scale and corrosion problems.

Besides, the recovery factor is decreased due to the bypass of oil by the displacement water front. These factors pose significant financial and environmental challenges for the petroleum industry.  

Gasbarri et al., 2008, classified problems associated with excessive water production into two broad categories:  

  • Problems associated with the reservoir, e.g., water coning, channelization (premature breakthrough of water in producing wells through channels of high permeability leaving fluid back in zones of low permeability), and movement of the oil-water contact.
  • Problems associated with near wellbore flow, e.g., flow behind casing. Very importantly, to accurately predict and mitigate the amount of produced water, the sources or mechanisms of the water production must be properly identified.

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