
Ahmed DaoudAbu Dhabi National Oil Company | ADNOC
Ahmed Daoud
Ph.D. in Petroleum Engineering, Texas A&M University
About
27
Publications
8,324
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50
Citations
Citations since 2017
Introduction
Reservoir Simulation, Reservoir and Production engineering, and Inversion
Additional affiliations
June 2019 - present
January 2014 - June 2019
June 2012 - January 2014
Publications
Publications (27)
Unit R is a tight carbonate reservoir onshore Abu Dhabi currently undergoing redevelopment with the aim to substantially improve the ultimate recovery factor. Better pressure support is required to increase the production. To this end, two water injectors were drilled in tight areas where wells suffer from low injectivity index and high well head i...
Objectives/Scope
One of the reservoir units producing from a carbonate reservoir in Abu Dhabi field since 1980 is characterized by having relatively good rock quality to the South with deterioration in rock quality towards North. Inverted nine spot gas injection pattern started for this unit since 1992. Despite all the efforts to improve the recove...
To reduce drilling uncertainties, zero‐offset VSPs can be inverted to quantify acoustic properties ahead of the bit. In this work, we propose an approach to invert VSP corridor stacks in Bayesian framework for look‐ahead prediction. The implemented approach helps to successfully predict density and compressional wave velocity using prior knowledge...
One of the North Kuwait Carbonate fields which starts its production in 1957 has very low recovery factor after 60 years of production although the field was under water flooding since 1997. A workflow was developed to first understand the reason behind the low recovery and second to propose the best way to improve it.
The workflow starts with firs...
To reduce drilling uncertainties, zero-offset VSPs can be inverted to quantify acoustic properties ahead of the bit. In this work, we propose an approach to invert VSP corridor stacks in Bayesian framework for look-ahead prediction. The implemented approach helps to successfully predict density and velocity using prior knowledge from drilled interv...
Background
The Inflow Performance Relationship (IPR) describes the behavior of flow rate with flowing pressure, which is an important tool in understanding the well productivity. Different correlations to model this behavior can be classified into empirically-derived and analytically-derived correlations. The empirically-derived are those derived f...
Sabriyah and Raudhatain are the main fields producing from the Middle Marrat Jurassic formation in North Kuwait with approximately 5 km distance between the two fields. Raudhatain fluid is considered as Volatile Oil, while Sabriyah is described as Gas-condensate. 16 PVT samples from Raudhatain were analyzed and described as Volatile oil. 12 PVT sam...
North Kuwait Jurassic Complex consists of 6 fields with 4 major reservoirs. Total of 19 integrated reservoir models incorporating seismic, geological, petrophysical, and engineering data have been constructed to delineate the reservoirs and perform multi-scenario production forecast for the whole field. These models are dual porosity, with near cri...
A project was undertaken to construct an overview to build an integrated asset model (IAM) of an onshore fractured carbonate gas condensate and volatile oil asset in Northern Kuwait that is considered the first gas asset discovered in Kuwait. The asset has the potential to produce from six distributed fields producing from four hydrocarbon-bearing...
A methodology has been presented of allocating gas rate and associated water to each individual layer using temperature measurements and total surface production of gas and water. In part 1, an analytical forward model has been proposed for wellbore temperature response under two-phase production in a multilayer geometry, using a nodal representati...
This paper presents a novel implementation for evolutionary algorithms in oil and gas reservoirs history matching problems. The reservoir history is divided into time segments. In each time segment, a penalty function is constructed that quantifies the mismatch between the measurements and the simulated measurements, using only the measurements ava...
The authors use a Bayesian formulation to integrate volumetric and material balance analyses. Specifically, they apply Bayes's rule to the Havlena and Odeh material balance equation to estimate original oil in place, N, and relative gas-cap size, m, for a gas-cap drive oil reservoir. The authors consider uncertainty and correlation in the volumetri...
This work presents a methodology of allocating oil rate and associated water cut to each individual layer using temperature measurements and total surface production of oil and water. This paper consists of two parts. In part one; an analytical forward model is proposed for wellbore temperature response under two-phase production in a multilayer ge...
Adjoint method-based sensitivity for field-scale history matching with large numbers of parameters suffers
from several limitations. First, the CPU time depends on the data points which are large for any brown fields of
long history; second, it requires large memory to save the gridblock pressure and saturation per each time
step used in the forwar...
We present a methodology of allocating gas rate and associated water to each individual layer using temperature measurements and total surface production of gas and water. This paper consists of two parts. In part one; we propose an analytical forward model for wellbore temperature response under two-phase production in a multilayer geometry, using...
We present a methodology of allocating gas rate and associated water to each individual layer using temperature measurements
and total surface production of gas and water. This paper consists of two parts. In part one; we propose an analytical forward
model for wellbore temperature response under two-phase production in a multilayer geometry, using...
Quantifying the uncertainty in the volumetric estimation of original oil in place (OOIP) is an important process in evaluating the field potential and hence in designing the proper and the most economical subsurface and surface facilities to produce the field reserves. This uncertainty in the OOIP estimate results from uncertainty in reservoir area...
Adjoint method-based sensitivity for field-scale history matching with large number of parameters suffers from several limitations. First, the CPU time depends on the data points which are large for any brown fields of long history; second, it requires large memory to save the gridblock pressure and saturation per each time step used in the forward...
Gas reservoirs in the Nile Delta of Egypt are characterized vertically by its thin beds of sands and shale and laterally by severe variations in facies. These challenges in the static modeling have a strong impact in the dynamic modeling which can be summarized in the following points. First, the vertical sequence of sands and shale leads to the di...
Estimating original hydrocarbons in place (OHIP) in a
reservoir is fundamentally important in estimating reserves
and potential profitability. Two traditional methods for
estimating OHIP are volumetric and material balance
methods. Probabilistic estimates of OHIP are commonly
generated prior to significant production from a reservoir by
combining v...
A system and method is provided for determining flow rates of fluid in a well. The system and method utilize temperature measurements and a modeling technique that enable the determination of flow rates from one or more well zones via the temperature data.
For many years, low resistivity formations were of little interest. Well logging pioneering research was hinged on the principle that hydrocarbon-filled rocks have a higher resistivity value than that of water-filled rocks. Through the years, it was found that many of the low resistivity formations were water-free oil producers. This triggered hund...
Conditioning geologic models to production data and assessment of uncertainty is generally done in a Bayesian framework. The current Bayesian approach suffers from three major limitations that make it impractical for field-scale applications. These are: first, the CPU time scaling behavior of the Bayesian inverse problem using the modified Gauss-Ne...
Projects
Project (1)