Three-dimensional Geologic Modeling and Horizontal Drilling Bring More Oil out of the Wilmington Oil Field of Southern California

This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 203335, “Using MSE and Downhole Drilling Dynamics in Achieving a Record Extended-Reach Well Offshore Abu Dhabi,” by Nashat Abbas and Jamal Al Nokhatha, ADNOC, and Luis Salgado, Halliburton, et al., prepared for the 2020 Abu Dhabi International Petroleum Exhibition and Conference, Abu Dhabi, held virtually 9–12 November. The paper has not been peer reviewed. Complex extended-reach-drilling (ERD) wells often present challenges with regard to geological aspects of data requirement and transmittal, reactive geosteering response times, and accuracy of well placement. Such scenarios may require innovative approaches in Middle East carbonate reservoirs. The objective of the complete paper is to illustrate that, by assessing the details of reservoir geology and key operational markers relevant for best practices, drilling approaches can be customized for each reservoir or scenario. Reservoir Background and Geology The planned reservoir section is a single horizontal of approximately 25,000-ft lateral length at a spacing of 250 m from adjacent injectors. The well was drilled from an artificial island. Field A, a shallow-water oil field, is the second-largest offshore field and the fourth-largest field in the world. Horizontal drilling was introduced in 1989, and an extensive drilling campaign has been implemented since then using steerable drilling technologies. This study is concerned only with wells drilled to develop Reservoir B in Field A, which contributes to the main part of initial oil in place and production. The thick limestone reservoir is subdivided into six porous layers, labeled from shallow to deep as A, B, C, D, E, and F. Each porous layer is separated by thin, low-porosity stylolites. The reservoir sublayer B, consisting of approximately 18-ft-thick calcareous limestones, was selected as the target zone for the 25,420-ft horizontal section. ERD, constructed on artificial islands, began on 2014 with a measured depth (MD)/true vertical depth (TVD) ratio approaching 2.2:1 or 2.4:1. A recent ERD well, Well A, was drilled at the beginning of 2020 with a MD/TVD ratio of 5:1. This value is a clear indication of progressively increasing challenges since the start of the project. Mechanical specific energy (MSE) has long been used to evaluate and enhance the rate of penetration (ROP); however, its use as an optimization tool in ERD wells has not been equally significant. This may have been mostly because of historical use of surface-measured parameters, which do not necessarily indicate the energy required to destroy the rock, particularly in ERD wells. Using optimization tools as part of the bottomhole assembly (BHA) downhole close to the bit provides actual weight-on-bit (WOB) and torque-on-bit (TOB) applied to the drilling bit to destroy the rock and, thus, results in more-representative MSE measurements to optimize drilling parameters and ROP in ERD wells.

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Horizontal Drilling Makes Possible the Development of Lebada East Oil Field-Upper Cretaceous Formation in the Romanian Continental Shelf of the Black Sea Second Part: Drilling, Completion, and Production Operations

10.2118/37135-ms ◽

1996 ◽

Author(s):

R. Sofonea ◽

S. Spinu ◽

I. Smocot ◽

V. Tabanescu ◽

I. Adamache

Keyword(s):

Continental Shelf ◽

Black Sea ◽

Upper Cretaceous ◽

Oil Field ◽

The Black Sea ◽

Horizontal Drilling

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SOCKEYE OIL FIELD, OFFSHORE SOUTHERN CALIFORNIA

Structure and Petroleum Geology, Santa Barbara Channel, California ◽

10.32375/1998-mp46.22 ◽

1998 ◽

Author(s):

James M. Galloway ◽

Scott D. Drewry ◽

Michael R. Brickey ◽

Scott B. Sorensen

Keyword(s):

Southern California ◽

Oil Field

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Three‐Dimensional Structure, Ground Rupture Hazards, and Static Stress Models for Complex Nonplanar Thrust Faults in the Ventura Basin, Southern California

Journal of Geophysical Research Solid Earth ◽

10.1029/2020jb019539 ◽

2020 ◽

Vol 125 (7) ◽

Author(s):

A. Hughes ◽

R. E. Bell ◽

Z. K. Mildon ◽

D. H. Rood ◽

A. C. Whittaker ◽

...

Keyword(s):

Southern California ◽

Three Dimensional ◽

Static Stress ◽

Dimensional Structure ◽

Thrust Faults ◽

Three Dimensional Structure ◽

Ventura Basin ◽

Stress Models

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Three Dimensional Pulse Coupled Neural Network Based on Hybrid Optimization Algorithm for Oil Pollution Image Segmentation

Remote Sensing ◽

10.3390/rs11091046 ◽

2019 ◽

Vol 11 (9) ◽

pp. 1046 ◽

Cited By ~ 6

Author(s):

Heming Jia ◽

Zhikai Xing ◽

Wenlong Song

Keyword(s):

Neural Network ◽

Image Segmentation ◽

Optimization Algorithm ◽

Oil Pollution ◽

Three Dimensional ◽

Oil Field ◽

Segmentation Method ◽

Pulse Coupled Neural Network ◽

Aerial Vehicle ◽

Pollution Area

This paper proposes a three dimensional pulse coupled neural network (3DPCNN) image segmentation method based on a hybrid seagull optimization algorithm (HSOA) to solve the oil pollution image. The image of oil pollution is taken by the unmanned aerial vehicle (UAV) in the oil field area. The UAV is good at shooting the ground area, but its ability to identify the oil pollution area is poor. In order to solve this problem, a 3DPCNN-HSOA algorithm is proposed to segment the oil pollution image, and the oil pollution area is segmented to identify the dirty oil area and improve the inspection of environmental pollution. The 3DPCNN image segmentation method has simple structure and good segmentation effect, but it has many parameters and poor segmentation effect for complex oil images. Therefore, we apply HSOA algorithm to optimize the parameters of 3DPCNN algorithm, so as to improve the segmentation accuracy and solve the segmentation of oil pollution images. The experimental results show that the 3DPCNN-HSOA model can separate the oil pollution area from the complex background.

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