Liang, Jiabo (CNOOC Iraq Limited) | Jin, Liping (CNOOC Iraq Limited) | Li, Wenyong (CNOOC Iraq Limited) | Li, Qiang (CNOOC Iraq Limited) | Laaby, Hussein Kadhim (Missan Oil Company) | Ammar, Ali Jabbar (Missan Oil Company) | Tayih, Ali Ouda (Missan Oil Company) | Muteer, Raad Fahad (Missan Oil Company) | Saadawi, Hisham N H (Baker Hughes, a GE company) | Harper, Christopher (Baker Hughes, a GE company) | Tuck, Jon O. (Baker Hughes, a GE company) | Fang, Yongjun (Baker Hughes, a GE company)
CNOOC Iraq Limited operates three oil fields in Missan Province in Iraq. They are all large onshore oilfields located 350 kilometers southeast of Baghdad. In order to support reservoir pressure, plans are underway to implement a water injection scheme. The injection water comes from three different sources; produced water, aquifer water as well as river / agricultural water. Considering the nature and varying chemistry of the source water, particular attention had to be given to selecting the material for the water injection wells. This paper describes the approach adopted in selecting the materials for Missan fields' water injection system.
Gao, Jichao (China Oilfield Services Limited) | Feng, Puyong (China Oilfield Services Limited) | Wang, Da (China Oilfield Services Limited) | Shao, Shangqi (China Oilfield Services Limited) | Cui, Bo (China Oilfield Services Limited) | Wang, Gui (China Oilfield Services Limited)
Matrix acidizing is widely used for removing damage of carbonate reservoirs. In 2017, more than 70 matrix stimulation operations have been conducted in Iraq Missan oilfield. However, for wells with no severe damage and low production performance which are influenced by formation energy decreasing, the effect of conventional matrix is limited. In order to stimulate these wells, a new acidizing technique has been developed which is called large liquid volume deep penetration acidizing.
According to the Darcy Productivity Equation, for carbonate reservoir, decreasing the skin factor below 0 would also increase production even if the skin factor is 0. That is the theoretical basis of large liquid volume deep penetration acidizing. The key points of this method are injection volume and acid system characters. Total injection volume is even twice as large as that of conventional matrix acidification. The acid system should have characteristics such as retarded acid-rock reaction rate and low leakoff coefficient. Viscoelastic surfactant based acid PA-VES and gelled acid PA-GL are used in these works.
In high permeability formation, the viscosity of PA-VES [20 wt% HCL and 8 wt% VES-1] reaches a peak of more than 400 cp at a shear rate of 170 S−1 at 120°C, which would drive acid flowing into tight formation. Other characteristics such as corrosion inhibition, surface tension, inter-surface tension, iron control and sludge prevention have been tested. Gelled acid is widely used because of its economic benefit, its rheology behavior is tested too. During injecting procedure, optimizing the injection rate and choosing large acid volume to produce long effective wormhole in formation, in this way the oil and gas seepage resistance are reduced, deep oil and gas reservoir area is connected, and oil production is improved. 3 wells have been stimulated using this technique in Missan oilfield which achieved the good results.
Large liquid volume deep penetration acidizing still belong to matrix acidizing because of non-fracturing formation. So that this method do not need a rig and would save cost. This paper introduces a novel method to stimulate low formation energy wells and low pollution wells, which is used in Iraq Missan oilfield for the first time.
Is Surfactant Environmentally Safe for Offshore Use and Discharge? The current presentation date and time shown is a TENTATIVE schedule. The final/confirm presentation schedule will be notified/available in February 2019. Designing Cement Jobs for Success - Get It Right the First Time! Connected Reservoir Regions Map Created From Time-Lapse Pressure Data Shows Similarity to Other Reservoir Quality Maps in a Heterogeneous Carbonate Reservoir. X. Du, Y. Jin, X. Wu, U. of Houston; Y. Liu, X. Wu, O. Awan, J. Roth, K.C. See, N. Tognini, Shell Intl.
By International Petroleum Technology Conference (IPTC) Monday, 25 March 0900-1600 hours Instructors: Olivier Dubrule and Lukas Mosser, Imperial College London Deep Learning (DL) is already bringing game-changing applications to the petroleum industry, and this is certainly the beginning of an enduring trend. Many petroleum engineers and geoscientists are interested to know more about DL but are not sure where to start. This one-day course aims to provide this introduction. The first half of the course presents the formalism of Logistic Regression, Neural Networks and Convolutional Neural Networks and some of their applications. Much of the standard terminology used in DL applications is also presented. In the afternoon, the online environment associated with DL is discussed, from Python libraries to software repositories, including useful websites and big datasets. The last part of the course is spent discussing the most promising subsurface applications of DL.