Technique for automated calculation of technological parameters for non-Newtonian liquids injection into a well during workover is presented. At the first stage the algorithm processes initial flow or viscosity curve in order to determine rheological parameters and coefficients included in equations of rheological models of non-Newtonian fluids. At the second stage, based on data from the previous stage, the program calculates well design and pump operation modes, permissible values of liquid flow rate and viscosity, to prevent possible hydraulic fracturing. Based on the results of calculations and dependencies, a decision is made on the necessity of changing the technological parameters of non-Newtonian liquid injection and/or its composition (components content, chemical base) in order to prevent the violation of the technological operation, such as unintentional formation of fractures due to hydraulic fracturing. Fracturing can lead to catastrophic absorptions and, consequently, to increased consumption of technological liquids pumped into the well during workover. Furthermore, there is an increased risk of uncontrolled gas breakthrough through highly conductive channels.
Long-term phased development of a multi-layer field, including tens and hundreds of oil-bearing horizons and local deposits, combined with their vertical and horizontal separation, creates conditions for the formation of residual oil reserves. For the purpose of identifying and spatial localization of residual reserves, an algorithm for retrospective analysis was developed and applied on the example of the Upper and Lower Devonian terrigenous deposits of the Romashkinskoe oil field, which have been developed since 1952. The long history of geological study and development of oil-bearing formations of the Pashiysky D1 (layers g and e), Mullinsky D2, Ardatovsky D3, Vorobyevsky D4 and Biysky D5 horizons is analyzed according to the data of 2605 wells. It is proposed to single out 6 categories of formations and the reserves contained in them. Previously undeveloped formations composed of conditioned reservoirs are classified as category 1. Formations composed of more clayey and less permeable reservoirs are awarded with category 2. Category 3 includes previously developed formations, but left before reaching the limit of water cut, and category 4 – currently being developed intervals. The least promising are those that are stopped after reaching the maximum water cut (category 5), as well as wedged out, replaced by non-reservoirs or considered water-bearing (category 6) formations. Categories were mapped to identify, visualize and describe the main patterns in the distribution of residual reserves, which are established both in single wells and in bypassed oil that include a group of wells. The algorithm was tested on the corporate information base of historical data on geological exploration, research and development of the Abdrakhmanovskaya area of the Romashkinskoe oil field. Examples of experimental workover operations to include the identified residual reserves in the development are given.
The article proposes an algorithm of actions to optimize the consumption of methanol which is used as an inhibitor of hydrate formation in the process chain of oil and gas production. The proposed approach was developed in the process of analyzing the methanol supply system and planning measures to optimize it for the Eastern section of the Orenburg oil and gas condensate field. The algorithm consists of five sections which to a greater extent affect the efficiency of the inhibition system and are closely related to each other. These are data preparation, determination of equilibrium conditions of hydrate formation, calculation of methanol consumption rates, analysis of the inhibition system flexibility, operational control. The proposed solution in the form of an algorithm makes it possible to carry out a complex analysis of the hydrate formation prevention system, to determine the most optimal solutions to reduce the consumption of methanol.
This paper describes a new algorithm for selecting candidate wells for water shut-off works. A new comprehensive methodology for the selection of candidate wells for water shut-off technology is proposed, consisting of 4 stages, where wells with excessive water cut are identified. The reasons for the water cut are determined, and the effectiveness of water shut-off technology on a potential candidate well is substantiated and predicted. The proposed method has been tested by the example of two wells in terrigenous reservoirs of a gas-oil field.
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