Day 2 Wed, March 27, 2019最新文献

{"title":"Novel Plant-Based Particulate and Fibrous LCM Products for Loss Control while Drilling","authors":"Amanullah, Mohammed K. Arfaj, R. Alouhali","doi":"10.2523/IPTC-19305-MS","DOIUrl":"https://doi.org/10.2523/IPTC-19305-MS","url":null,"abstract":"\u0000 Novel fibrous and particulate LCM products of variable mechanical characteristics and chemical composition were developed using physio-mechanical treatment and processing of various waste components of date palm trees available each year as pruning wastes, post crop harvesting wastes, waste generated after making cookies and confectioneries and also the waste arising due to the removal of deceased and non-productive date trees.\u0000 Experimental tests conducted using PPT apparatus at 500 and 1500 psi pressure and 250 °F temperature using 2 mm slotted disc demonstrated the efficient sealing and blocking for all of the particulate and fibrous LCM products either immediately after the application of the overbalance pressure or after a while. Some of the LCM products showed instantaneous sealing capacity after the application of overbalance pressure. Several commercial LCM products were also tested and evaluated using the same concentration and test conditions for comparative assessment of the performance of the newly developed LCM products. Interestingly, all of the new LCM products showed similar or better performance than the equivalent commercial products. Engineered fiber blends developed using the date palm industry waste also showed similar or better performance than the commercial or currently used LCM blends. Experimental results also indicated the suitability of date palm industry waste in replacing some of the synthetic fibers used by the industry in commercial LCM blend design. All these experimental results indicate that the date palm industry wastes are potential sources of raw materials for various product development for oil and gas field applications.","PeriodicalId":105730,"journal":{"name":"Day 2 Wed, March 27, 2019","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115551156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Current Methods and Novel Solutions for Mitigating Lost Circulation","authors":"J. Ramasamy, P. ChinthakaGooneratne, Amanullah","doi":"10.2523/IPTC-19499-MS","DOIUrl":"https://doi.org/10.2523/IPTC-19499-MS","url":null,"abstract":"\u0000 This paper presents novel lost circulation materials that are being developed to address and effectively control moderate to severe lost circulation. We also present a thorough analysis of drilling methods, lost circulation scenarios and current lost mitigation strategies that have to be undertaken when drilling in severe lost circulation zones, which could also improve the probability of success of the novel lost circulation materials to cure losses. Recent development on lost mitigation materials comprising of polymers and fibers is also discussed in detail.","PeriodicalId":105730,"journal":{"name":"Day 2 Wed, March 27, 2019","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131715545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data Mining Approaches for Casing Failure Prediction and Prevention","authors":"C. I. Noshi, S. Noynaert, J. Schubert","doi":"10.2523/IPTC-19311-MS","DOIUrl":"https://doi.org/10.2523/IPTC-19311-MS","url":null,"abstract":"\u0000 Recent casing failures in the Granite Wash play in the western Anadarko Basin have sparked deep concerns to operators in North Texas and Oklahoma. Hydrostatic tests made in the field show that present API standards do not assure adequate joint and bursting strength to meet deep-well requirements. Past and present literature has been infested with numerous casing failures incidents. Despite the extensive documentation and recommendations, a mounting trend of failure is still on the rise. In an attempt to find possible solutions for these failures, this study is a continuation of an on-going effort to minimize the likelihood of failure using Data Mining and Machine Learning (ML) algorithms.\u0000 The study applied both descriptive visual representations such as Mosaic and Box Plots and predictive algorithms including Artificial Neural Networks (ANN) and Boosted Ensemble trees on eighty land-based wells, of which twenty possessed casing and tubing failures. The study used a predictive analytics software and python coding to evaluate twenty-six different features compiled from drilling, fracturing, and geologic data.\u0000 This work attempts to shed light on operational problems and implement a Data Analytic approach to find out the possible factors contributing to casing failures using both descriptive and supervised ML algorithms.","PeriodicalId":105730,"journal":{"name":"Day 2 Wed, March 27, 2019","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130678208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Accurate Original Resistivity Inversion in a Heterogeneous Thick Flooded Reservoir Through Electrical Interpretation Unit Classification","authors":"Huan-Min Liu, Jinxiu Xu, Yunjiang Cui, Zuobin Lv, Xinlei Shi","doi":"10.2523/IPTC-19171-MS","DOIUrl":"https://doi.org/10.2523/IPTC-19171-MS","url":null,"abstract":"\u0000 Low resistivity is a main feature of flooded reservoir in injection fields. The key to evaluate flooding severity is to reconstruct resistivity in its' original condition. In this process, the routine method is to find a relationship between resistivity and other logs to rebuild unflooded resistivity. However, it is very sensitive to formation parameters and prone to have larger error due to ignoring the difference of lithology, reservoir and electrical properties driven by geological background.\u0000 This paper proposes a method to classify reservoir into different electrical interpretation units to address the problem that routine methods have. Firstly, reservoir was divided into different logging facies through multi-resolution graph-based clustering(MRGC). Secondly, a database of the relationship between logging facies and lithology in aimed reservoir was built based on the core, petrophysical logging data and so on. Eventually, electrical interpretation units were obtained based on the database and reservoir resistivity. Resistivity models of origin field were built for each electrical interpretation unit, which could improve the accuracy of original resistivity calculation dramatically.\u0000 In the studied field, five logging facies were defined in a coring well using MRGC method. The relationship between each logging facie and its lithology were constructed as well. Each logging facie can be recognized though cross-plots from conventional logs. Meanwhile, considering reservoir fluid properties, through finding similar electrical properties in the reservoir with same logging facies and lithology, the studied well could be further divided into three interpretation units. With similar lithology and reservoir properties, reservoir heterogeneity from the same electrical interpretation unit decreases, plus bearing similar electrical property, the influence from saturation difference of the original field has weakened. Through the previous illustrated model, it has demonstrated a good effect in evaluating the original resistivity in thick layers of the M field from Bohai Bay. Comparing with the result from routine method, the resistivity from the proposed method has a better match with the resistivity from unflooded area, consequently, increase the evaluation accuracy dramatically.\u0000 Eventually, the classification of logging facies and electrical interpretation units from key wells can be spread to flooded wells to calculate the unflooded resistivity, as a result, a more accurate flooding severity evaluation could be obtained. It could provide more reliable data for further residential oil development.","PeriodicalId":105730,"journal":{"name":"Day 2 Wed, March 27, 2019","volume":"46 18","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113974156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Numerical Simulation and Experimental Study of Near-Wellbore Fracture Initiation Mechanism on Sandstone Coal Interbedding","authors":"Liming Wan, Mian Chen, Fengshou Zhang, Li Wang, Wangang Chen","doi":"10.2523/IPTC-19356-MS","DOIUrl":"https://doi.org/10.2523/IPTC-19356-MS","url":null,"abstract":"\u0000 With the development of unconventional oil and gas resources, the technology of commingling production in coal measure has been studied, which requires us to have a better understanding of the fracture near the wellbore in multi-layers. Previous studies mainly focused on the fracture morphology in a single layer and lack of 3D evolution role of microfracture propagation, so the fracture geometry in multi-layers of the coal seam and microfracture initiation near wellbore were studied in this paper.\u0000 In this study, the 3D-lattice model was used to simulate the 3D dynamic hydraulic fracture morphology near the wellbore in multi-layered coal based on XSite simulator, and the spiral perforation position was mainly studied. To verify the numerical simulation, the true tri-axial test system was implied for fracturing simulation experiments on the combination of coal, sandstone and limestone outcrops. The perforation position was changed to analyze the fracture morphology near the wellbore. Besides, the 3D scanning technology and the fracturing curve were used to study the fracture characters. As a result, the fracture morphologies near the wellbore in different perforation positions were studied.\u0000 The numerical simulation results showed that the microfracture evolution process in spiral perforation can be divided into three stages, (a) Stage 1: the vertical microfracture bands develop along the perforation hole; (b) stage 2: micro-annulus fracture forms around the wellbore; (c) stage 3: fractures break through along the perforation holes perpendicular to the minimum in-situ stress. The cleats and the natural fractures dominated the fracture initiation geometry when perforating in coal. The secondary branch fractures and the stepped fractures were the main characters in coal. Sandstone was a good barrier layer for the coal seam in fracturing, and the fracture in coal was easy to break through the limestone layer. When fracture initiated in coal layer, the fracture near the wellbore was complex with many secondary fractures, and the fracture surface was rough with poor continuity; when initiated in both sandstone and coal layers simultaneously, the main fracture developed quickly in coal and the smooth fracture surface formed near the wellbore.\u0000 The results of laboratory experiments were in good agreement with numerical simulation. The 3D evolution role of microfracture near wellbore could give a deep understanding of fracture complexity in near-wellbore area in coal. The experiments considered the actual formation combination, and the results of multi-layer fracturing could give a good guidance for field perforation optimization in the commingling of coal measure strata.","PeriodicalId":105730,"journal":{"name":"Day 2 Wed, March 27, 2019","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114773291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Rotating Continuous Circulation Tool RCCT for Increasing Drilling Efficiency and Optimizing Borehole Cleaning","authors":"Mohammed Badran, C. Gooneratne, Meshari Ahsalan, Amjad Shaarawi","doi":"10.2523/IPTC-19300-MS","DOIUrl":"https://doi.org/10.2523/IPTC-19300-MS","url":null,"abstract":"\u0000 This paper presents the design, deployment and field trial test of a uniquely designed Rotating Continuous Circulation Tool (RCCT). The RCCT provides nearly continuous rotation of the pipe string and continuous circulation of fluid while making up or breaking out a new stand. Nearly continuous rotation decreases the period of static contact between the formations surrounding the pipe string and the pipe string, thus reducing the risk of the pipe becoming stuck inside the wellbore and also the wellbore collapsing. Continuous circulation results in efficient borehole cleaning. Therefore, the RCCT increases drilling efficiency and optimizes borehole cleaning. Proof-of-concept testing of the RCCT was successfully performed inside casing during a cement clean out operation, which also aided to clearly define drilling parameters required for successful operation of the tool while drilling.","PeriodicalId":105730,"journal":{"name":"Day 2 Wed, March 27, 2019","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123821209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Allied In-Situ Injection and Production for Fractured Horizontal Wells to Increase Hydrocarbon Recovery in Tight Oil Reservoirs: A Case Study in Changqing Oilfield","authors":"Haiyang Yu, Chen Zhewei, Zhonglin Yang, Shiqing Cheng, Youan He, Bo Xian","doi":"10.2523/IPTC-19125-MS","DOIUrl":"https://doi.org/10.2523/IPTC-19125-MS","url":null,"abstract":"\u0000 Poor energy supplement and low hydrocarbon recovery are the two main shortcomings for water or gas injection in tight oil reservoir development. Horizontal well flooding can improve oil recovery and sweep efficiency of water flooding. However, the economic benefits need to be considered for long horizonal well injection. Based on a case of Changqing Oil filed, this paper presents a novel development approach, Allied In-Situ Injection and Production (AIIP), for fractured horizontal wells to increase hydrocarbon recovery, and explores its feasibility with simulation work, compared with traditional water flooding method. The impact for the existence of natural fractures in tight oil reservoir is also studied in this work. Although requiring costly special equipment, a series of simulations prove that AIIP is a more reliable and efficient approach to increase the performance of fractured horizontal wells compared to conventional methods, oil recovery and oil rate were improved significantly after AIIP was conducted. Water injectivity increased sharply than traditional water flooding with a lower injection pressure. The existence of natural fracture in tight oil formation improved the water flow inside the formation, leading better sweep efficiency and higher oil recovery factor. However, water cut in producers increased faster in natural facture enriched model than that of basic model. Thereforem it is essential to evaluate the performance of AIIP process before application.","PeriodicalId":105730,"journal":{"name":"Day 2 Wed, March 27, 2019","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123850805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial Lift Selection Using Machine Learning","authors":"Thanawit Ounsakul, Thum Sirirattanachatchawan, Wiwat Pattarachupong, Yaovanart Yokrat, P. Ekkawong","doi":"10.2523/IPTC-19423-MS","DOIUrl":"https://doi.org/10.2523/IPTC-19423-MS","url":null,"abstract":"\u0000 The artificial lift selection process performed by human involves iterating of several design parameters. Moreover, the human's curated selection required the decision making with unbiased, repeatable and reliable. Capturing the lesson learned from the previous mistake into the new design and lack of look back in the past performances are the limits of human. The supervised machine learning method can apply to improve selection process. This approach can minimize the life-cycle cost of artificial lift wells by using machine learning which incorporate the past performances and lesson learnt from installations. The data is prepared into a structured dataset. The dataset is pre-processed to determine the \"Good\" and \"Bad\" wells based on their life-cycle cost, then used for training and validating the classification models. The most simple and accurate model is adopted for future artificial lift selection and current wells’ performance assessment. Finally, the performance of new wells is continuously added for further model's training.\u0000 The artificial lift suggested by the machine learning expects reducing life-cycle cost in the ongoing trial in the fields. In term of assessing tool, the selection model reveals some discrepancy in the current installed artificial lift. This alerts the operator to look inside the potential problems. However, the subject matter experts still need to give an adequate interaction in case of false alarm. Therefore, the discovered pattern for good artificial lift selection will help improve the fields’ production. In addition, the endless learning capability of machine learning allows the new data feeds into the existing dataset and further incorporates the model in order to response to the dynamic change of the fields’ conditions. In conclusion, machine learning process is more comprehensive comparing to the selection made by conventional process where only few tables used for the artificial lift selection and overlook the value of data captured.\u0000 The Artificial Intelligence is one of the emerging technologies which provides the breakthrough results. This paper presents the artificial intelligence trend in oil and gas industry. It is a promising tool which help solving human's complex problems. Ultimately, adding the durable competitive advantage to the oil and gas industry.","PeriodicalId":105730,"journal":{"name":"Day 2 Wed, March 27, 2019","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121764264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Structure and Inhibition of the Indolizine Derivative: New Concept of High-Efficient Corrosion Inhibitors for Acidizing","authors":"Renzhuo Wang, Zhen Yang, Wuhua Chen, Yefei Wang, M. Ding, Fengtao Zhan","doi":"10.2523/IPTC-19413-MS","DOIUrl":"https://doi.org/10.2523/IPTC-19413-MS","url":null,"abstract":"\u0000 Among the numerous corrosion inhibitors for acidizing, the propargyl alcohol, with great expense and high toxicity, is often added as an important synergistic component. In this work, novel indolizine derivative high-effective inhibitor for acidizing was introduced. The indolizine derivative could exhibit an excellent protection performance at a much lower concentration without the synergism of the poisonous propargyl alcohol. The two inhibitive indolizine derivatives in this paper were synthesized easily from Benzyl Quinolinium Chloride (BQC, known as the a commonly used key component of acidizing inhibitor) via 1,3-dipolar cycloaddition reaction. The indolizine derivatives were purified by the column chromatography and the structure were characterized by NMR and elementary analysis etc.\u0000 The inhibition performance of the BQC, propargyl alcohol and the indolizine derivatives in 15 wt.% HCl and 20 wt.% HCl for N80 steel was investigated by weight loss test and potentiodynamic polarization and electrochemical impedance spectroscopy (EIS). The conclusion obtained from the electrochemical tests is in accordance with the results of gravimetric test. It is amazing to notice that the derivative could exhibit a much better anti-corrosion performance than its precursor BQC and propargyl alcohol in the abserence of the poisonous propargyl alcohol.\u0000 Compared with BQC, the active adsorption sites are reinforced and strengthed in indolizine derivatives, and therefore, the inhibitor would fasten the steel surface more stronger. The firmly adsorbed inhibitors would prohibit the steel from the contact of acid. Indolizine derivative is presented as a new concept of effective acidizing inhibitor for the first time in this paper. It may offer a new method for the corrosion prevention in acidification engineering.","PeriodicalId":105730,"journal":{"name":"Day 2 Wed, March 27, 2019","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117300622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Rock Mechanical Properties of Lacustrine Shales from Ordos Basin","authors":"Hongyan Yu, Xiaolong Li, Zhenliang Wang, R. Rezaee, L. Gan","doi":"10.2523/IPTC-19187-MS","DOIUrl":"https://doi.org/10.2523/IPTC-19187-MS","url":null,"abstract":"\u0000 Abundant shale oil and gas resources have been discovered in the Zhangjiatan shale of the Yanchang formation in ordos basin in recent years. Zhangjiatan shale is a typical lacustrine shale, which is different from Marine shale in physical properties. Most previous research has focused on Marine shale. In order to understand the rock mechanical properties of Zhangjiatan shale, we conducted dynamic and static elastic properties experiments. We selected argillaceous shale and silty laminae shale in Zhangjiatan shale as samples. In order to obtain the static Young's modulus and Poisson's ratio, we use the triaxial pressure test. We use the dipole log to measure the acoustic velocity down the hole, and then we calculate the dynamic Young's modulus and Poisson's ratio of the sample based on acoustic velocity. Young's modulus of argillaceous shale is slightly smaller than that of silty laminae shale and the Poisson's ratio of argillaceous shale is also smaller than that of silty laminae shale. The brittleness of argillaceous shale are greater than that of silty laminae shale, as a result, argillaceous shale is much easier fracturing under pressure. We plotted the cross-plot of RCS, elastic properties and TOC and reached a conclusion that the mass ratio of clay to quartz and feldspar determined the brittleness and deformability of rock, while organic matters also affected the elastic properties of rock. Therefore, the elastic properties of shale are not controlled by a single factor, instead of multiple factors.","PeriodicalId":105730,"journal":{"name":"Day 2 Wed, March 27, 2019","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115068712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}