Using ANN for well type identifying and increasing production from Sa’di formation of Halfaya oil field – Iraq

Ghanim M. Farman

doi:10.1515/eng-2022-0444

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Publication Date

Mon Jan 01 2024

Journal Name

Open Engineering

Volume

14

DOI

10.1515/eng-2022-0444

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Using ANN for well type identifying and increasing production from Sa’di formation of Halfaya oil field – Iraq

tight formation

increasing oil production

reservoir management

well production types

ANN applications

Ghanim M. Farman

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AbstractThe current study focuses on utilizing artificial intelligence (AI) techniques to identify the optimal locations of production wells and types for achieving the production company’s primary objective, which is to increase oil production from the Sa’di carbonate reservoir of the Halfaya oil field in southeast Iraq, with the determination of the optimal scenario of various designs for production wells, which include vertical, horizontal, multi-horizontal, and fishbone lateral wells, for all reservoir production layers. Artificial neural network tool was used to identify the optimal locations for obtaining the highest production from the reservoir layers and the optimal well type. For layer SB1, the average daily production is 291.544 STB/D with the horizontal well, 441.82 STB/D with the multilateral well, and 1298.461 STB/D with the fishbone well type. Also, for the SB2 layer: 197.966, 336.9834, and 924.554 STB/D, and for the SB3 layer: 333.641, 546.6364, and 1187.159 STB/D for the same well type sequence. The cumulative production for each formation layer is 22.440 MMSTB from the horizontal well, 59.05 MMSTB from the multilateral well, and 84.895 MMSTB from the fishbone well types for the SB1 layer; 48.06, 70.1094, and 160.254 MMSTB for SB2; and 75.2764, 111.7325, and 213.1291 MMSTB for SB3 for the same well types.

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Publication Date

Thu Aug 01 2024

Journal Name

Water Practice & Technology

Artificial neural network and response surface methodology for modeling oil content in produced water from an Iraqi oil field

Saja Mohsen

Noor Mohsen

Sura Jasem Mohammed

Ahmed Abdulrazzaq

Ali Dawood

Laith Majeed

Maytham Khalaf

Hamza Abbas

Haydar Muhamad

Malik M.

Phuoc-Cuong

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ABSTRACTThe majority of the environmental outputs from gas refineries are oily wastewater. This research reveals a novel combination of response surface methodology and artificial neural network to optimize and model oil content concentration in the oily wastewater. Response surface methodology based on central composite design shows a highly significant linear model with P value <0.0001 and determination coefficient R2 equal to 0.747, R adjusted was 0.706, and R predicted 0.643. In addition from analysis of variance flow highly effective parameters from other and optimization results verification revealed minimum oily content with 8.5 ± 0.7 ppm when initial oil content 991 ppm, tempe ... Show More

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Publication Date

Wed Nov 01 2023

Journal Name

International Society For The Study Of Vernacular Settlements

Using Modern Techniques in the Formation of Flexible Interior Spaces: Insights from Iraq

Flexibility

Techniques

Interior space

D.H.

Rand H. M.

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Publication Date

Sun Dec 31 2000

Journal Name

Iraqi Journal Of Chemical And Petroleum Engineering

Production of Castor Oil for Medical Uses

Cecilia Kh

Ayad M

Mohammed S

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View Publication Preview PDF

Publication Date

Wed Mar 29 2023

Journal Name

Iraqi Journal Of Chemical And Petroleum Engineering

Cold Cracking Technology for Crude Oil Upgrading in Qaiyarah Heavy Oil Field; Technical and Economical Evaluation

Cold cracking

Qaiyarah heavy oil field

heavy crude upgrading

synthetic oil

oil production cost.

Herish

Ayad

Mohammad

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Heavy oil is classified as unconventional oil resource because of its difficulty to recover in its natural state, difficulties in transport and difficulties in marketing it. Upgrading solution to the heavy oil has positive impact technically and economically specially when it will be a competitive with conventional oils from the marketing prospective. Developing Qaiyarah heavy oil field was neglected in the last five decades, the main reason was due to the low quality of the crude oil resulted in the high viscosity and density of the crude oil in the field which was and still a major challenge putting them on the major stream line of production in Iraq. The low quality of the crude properties led to lower oil prices in the global markets

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(1)

Publication Date

Tue May 01 2012

Journal Name

First Eage Workshop On Iraq - Hydrocarbon Exploration And Field Development

Microfacies and Petrographic study for Yamama formation in Ratawi field

Afrah hassan

S.

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Publication Date

Mon Jan 13 2020

Journal Name

Day 3 Wed, January 15, 2020

Numerical Simulation of Gas Lift Optimization Using Genetic Algorithm for a Middle East Oil Field: Feasibility Study

Constrained optimization

Gas lifts

Gases

Gasoline

Genetic algorithms

Life cycle

Natural gas fields

Numerical models

Offshore oil well production

Oil fields

Mustafa

Mofazzal

Omar

Akim

Abbas

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Gas-lift technique plays an important role in sustaining oil production, especially from a mature field when the reservoirs’ natural energy becomes insufficient. However, optimally allocation of the gas injection rate in a large field through its gas-lift network system towards maximization of oil production rate is a challenging task. The conventional gas-lift optimization problems may become inefficient and incapable of modelling the gas-lift optimization in a large network system with problems associated with multi-objective, multi-constrained, and limited gas injection rate. The key objective of this study is to assess the feasibility of utilizing the Genetic Algorithm (GA) technique to optimize t ... Show More

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(15)

(8)

Publication Date

Sun Dec 30 2007

Journal Name

Iraqi Journal Of Chemical And Petroleum Engineering

Prevention of Scale Formation in Heat Exchanger Pipes by Using Magnetic Field

scale formation

heat exchanger.

Abbas

Jassim

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The possibility of using the magnetic field technique in prevention of forming scales in heat exchangers pipes using
hard water in heat transfer processes, also the studying the effective and controllable parameters on the mechanism of
scale formation.
The new designed heat exchanger experimental system was used after carrying out the basic process designs of the
system. This system was used to study the effect of the temperature (40-90 °C) and water flow rate (0.6-1.2 L/min) on
the total hardness with time as a function of precipitation of hardness salts from water and scale formation.
Different magnetic field designs in the heat exchanger experimental system were used to study the effect of magnetic
field design a

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Publication Date

Sat Mar 30 2019

Journal Name

Iraqi Journal Of Chemical And Petroleum Engineering

Estimation of rock strength from sonic log for Buzurgan oil field: A Comparison study

drilling

unconfined rock strength

sonic log

Khalid

Hassan

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It is very difficult to obtain the value of a rock strength along the wellbore. The value of Rock strength utilizing to perform different analysis, for example, preventing failure of the wellbore, deciding a completion design and, control the production of sand. In this study, utilizing sonic log data from (Bu-50) and (BU-47) wells at Buzurgan oil field. Five formations have been studied (Mishrif, Sadia, Middle lower Kirkuk, Upper Kirkuk, and Jaddala) Firstly, calculated unconfined compressive strength (UCS) for each formation, using a sonic log method. Then, the derived confined compressive rock strengthens from (UCS) by entering the effect of bore and hydrostatic pressure for each formation. Evaluations th

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(3)

Publication Date

Wed Jun 27 2018

Journal Name

Iraqi Journal Of Chemical And Petroleum Engineering

Cluster Analysis Approach to Identify Rock Type in Tertiary Reservoir of Khabaz Oil Field Case Study

Rock identification

Khabaz oil field

Wafa

Sameer N.

Haider Ashour

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Rock type identification is very important task in Reservoir characterization in order to constrict robust reservoir models. There are several approaches have been introduced to define the rock type in reservoirs and each approach should relate the geological and petrophysical properties, such that each rock type is proportional to a unique hydraulic flow unit. A hydraulic flow unit is a reservoir zone that is laterally and vertically has similar flow and bedding characteristics. According to effect of rock type in reservoir performance, many empirical and statistical approaches introduced. In this paper Cluster Analysis technique is used to identify the rock groups in tertiary reservoir for Khabaz oil field by analyses variation o

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Publication Date

Tue Nov 09 2021

Journal Name

Abu Dhabi International Petroleum Exhibition & Conference

Numerical Simulation of Gas Lift Optimization Using Artificial Intelligence for a Middle Eastern Oil Field

evolutionary algorithm

gas lift

artificial intelligence

upstream oil & gas

machine learning

optimization problem

correlation

presented

allocation

reservoir pressure

Mohammed Ahmed

Omar F.

Dhifaf Jaafar

Haider Abdulmuhsin

Mustafa Alaulddin

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AbstractArtificial lift techniques are a highly effective solution to aid the deterioration of the production especially for mature oil fields, gas lift is one of the oldest and most applied artificial lift methods especially for large oil fields, the gas that is required for injection is quite scarce and expensive resource, optimally allocating the injection rate in each well is a high importance task and not easily applicable. Conventional methods faced some major problems in solving this problem in a network with large number of wells, multi-constrains, multi-objectives, and limited amount of gas. This paper focuses on utilizing the Genetic Algorithm (GA) as a gas lift optimization algorit ... Show More

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